Publications

BibBase
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2009 (113)
In-situ FPGA debug driven by on-board microcontroller. Baker, Z. K; and Monson, J. S In Field Programmable Custom Computing Machines, 2009. FCCM'09. 17th IEEE Symposium on, pages 219–222, April 2009. IEEE
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An Integrated Framework for Performance-Based Optimization of Scientific Workflows. Kumar, V. S.; Sadayappan, P.; Mehta, G.; Vahi, K.; Deelman, E.; Ratnakar, V.; Kim, J.; Gil, Y.; Hall, M. W.; Kurç, T. M.; and Saltz, J. H. In Proceedings of the Eighteenth ACM International Symposium on High Performance Distributed Computing (HPDC), pages 177-186, Garching, Germany, 2009.
An Integrated Framework for Performance-Based Optimization of Scientific Workflows [link]Link An Integrated Framework for Performance-Based Optimization of Scientific Workflows [link]Paper bibtex
Pipeline-Centric Provenance Model. Groth, P.; Deelman, E.; Juve, G.; Mehta, G.; and Berriman, B. In 4th Workshop on Workflows in Support of Large-Scale Science (WORKS 09), 2009.
Pipeline-Centric Provenance Model [pdf]Paper bibtex
Adaptive Workflow Processing and Execution in Pegasus. Lee, K.; Paton, N. W.; Sakellariou, R.; Deelman, E.; Fernandes, A. A. A.; and Mehta, G. Concurrency and Computation: Practice and Experience, 21(16): 1965-1981. 2009.
Adaptive Workflow Processing and Execution in Pegasus [pdf]Paper bibtex
Scientific Workflow Applications on Amazon EC2. Juve, G.; Deelman, E.; Vahi, K.; Mehta, G.; Berriman, B.; Berman, B. P.; and Maechling, P. J. In Workshop on Cloud-based Services and Applications, January 2009.
Scientific Workflow Applications on Amazon EC2 [pdf]Paper bibtex
Grids and Clouds: Making Workflow Applications Work in Heterogeneous Distributed Environments. Deelman, E. International Journal of High Performance Computing Applications. 2009.
Grids and Clouds: Making Workflow Applications Work in Heterogeneous Distributed Environments [pdf]Paper bibtex
Mapping Workflows on Grid Resources: Experiments with the Montage Workflow. Sakellariou, R.; Zhao, H.; and Deelman, E. In CoreGrid, 2009.
Mapping Workflows on Grid Resources: Experiments with the Montage Workflow [pdf]Paper bibtex
SPIDR: Integrated Systems Engineering Design-to-Simulation Software for Satellite Build. Barnhart, D. A; Kichkaylo, T.; and Hoag, L. In Conference on Systems Engineering Research, January 2009.
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Development and Operation of a Micro-Satellite Dynamic Test Facility for Distributed Flight Operations. Barnhart, D.; Barrett, T.; Sachs, J.; and Will, P. In AIAA Space 2009 Conference, September 2009.
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Clustering with prior information. Allahverdyan, A.; Galstyan, A.; and Ver Steeg, G. In NIPS workshop: Clustering: Science or Art? Towards Principled Approaches, 2009.
Clustering with prior information [pdf]Paper bibtex 3 downloads
The Earth System Grid: Enabling Access to Multimodel Climate Simulation Data. Williams, D.; Ananthakrishnan, R.; Bernholdt, D. E.; Bharathi, S.; Brown, D.; Chen, M.; Chervenak, A.; Cinquini, L.; Drach, R.; Foster, I.; Fox, P.; Fraser, D.; Garcia, J.; Hankin, S.; Jones, P.; Middleton, D.; Schwidder, J.; Schweitzer, R.; Schuler, R.; Shoshani, A.; Siebenlist, F.; Sim, A.; Strand, W. G.; Su, M.; and Wilhelmi, N. Bulletin of the American Meteorological Society, 90(2): 195-206. 2009.
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The Globus Replica Location Service: Design and Experience. Chervenak, A. L.; Schuler, R.; Ripeanu, M.; Amer, M. A.; Bharathi, S.; Foster, I.; Iamnitchi, A.; and Kesselman, C. IEEE Trans. Parallel Distrib. Syst., 20(9): 1260-1272. September 2009.
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Mission-Critical Space Software for Multi-Core Processors. Crago, S. P. In Workshop on Flight Software, November 2009.
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Integrated Development Environment and Parallel Performance Analysis Tools for Tile 64/ Maestro. Singh, K.; Kost, R.; Yoo, K.; Parker, K.; and Crago, S. P. In Workshop on Multi-Core Processors for Space- Opportunities and Challenges held in conjunction with IEEE SMC-IT, July 2009.
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Maestro Multi-Core Software. Crago, S. P. In Workshop on Multi-Core Processors for Space- Opportunities and Challenges held in conjunction with Third IEEE International Conference on Space Mission Challenges for Information Technology, July 2009.
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A learning and collaboration platform based on SAGE. Delgado, J.; Joselli, M.; Stanzani, S.; Sadjadi, S. M.; Clua, E.; and Alvarez, H. Vancouver, Canada, January 2009.
A learning and collaboration platform based on SAGE [link]Paper bibtex
DNSSEC in Practice: Using DNSSEC-Tools to Deploy DNSSEC. Krishnaswamy, S.; Hardaker, W.; and Mundy, R. In 2009 Cybersecurity Applications Technology Conference for Homeland Security, pages 3-15, 03 2009.
DNSSEC in Practice: Using DNSSEC-Tools to Deploy DNSSEC [link]Paper doi bibtex
DNSSEC in Practice: Using DNSSEC-Tools to Deploy DNSSEC. Krishnaswamy, S.; Hardaker, W.; and Mundy, R. Conference For Homeland Security, 2009. CATCH '09. Cybersecurity Applications & Technology. 03 2009.
DNSSEC in Practice: Using DNSSEC-Tools to Deploy DNSSEC [link]Paper bibtex abstract
Transport Security Model for the Simple Network Management Protocol (SNMP). Harrington, D.; and Hardaker, W. RFC 5591 (Internet Standard, 06 2009.
Transport Security Model for the Simple Network Management Protocol (SNMP) [txt]Paper doi bibtex abstract
Secure Shell Transport Model for the Simple Network Management Protocol (SNMP). Harrington, D.; Salowey, J.; and Hardaker, W. RFC 5592 (Proposed Standard), 06 2009.
Secure Shell Transport Model for the Simple Network Management Protocol (SNMP) [txt]Paper doi bibtex abstract
Interactive Data Integration through Smart Copy & Paste. Ives, Z. G.; Knoblock, C. A.; Minton, S.; Jacob, M.; Talukdar, P. P.; Tuchinda, R.; Ambite, J. L.; Muslea, M.; and Gazen, B. C. In Fourth Biennial Conference on Innovative Data Systems Research (CIDR) , Pacific Grove, CA, January 2009.
Interactive Data Integration through Smart Copy & Paste [pdf]Paper Interactive Data Integration through Smart Copy & Paste [pdf]Presentation bibtex
Wrapper Maintenance. Lerman, K.; and Knoblock, C. A. In Liu, L.; and Ozsu, M. T., editor(s), Encyclopedia of Database Systems. Springer, Leipzig, Germany, 2009.
Wrapper Maintenance [pdf]Paper bibtex
Mining the Heterogeneous Transformations Between Data Sources to Aid Record Linkage. Michelson, M.; and Knoblock, C. A. In Proceedings of the International Conference on Artificial Intelligence (ICAI), 2009.
Mining the Heterogeneous Transformations Between Data Sources to Aid Record Linkage [pdf]Presentation Mining the Heterogeneous Transformations Between Data Sources to Aid Record Linkage [pdf]Paper bibtex
A Method for Automatically Extracting Road Layers from Raster Maps. Chiang, Y Y; and Knoblock, C A In Proceedings of the 2009 10th International Conference on Document Analysis and Recognition, pages 838–842, July 2009.
A Method for Automatically Extracting Road Layers from Raster Maps [link]Paper A Method for Automatically Extracting Road Layers from Raster Maps [pdf]-file doi bibtex
Extracting Road Vector Data from Raster Maps. Chiang, Y.; and Knoblock, C. A. In Graphics Recognition: Achievements, Challenges, and Evolution, Selected Papers of the 8th International Workshop on Graphics Recognition (GREC), Lecture Notes in Computer Science, 6020, pages 93-105. Springer, New York, 2009.
Extracting Road Vector Data from Raster Maps [pdf]Paper bibtex
An Approach to Automatic Road Vectorization of Raster Maps. Chiang, Y.; and Knoblock, C. A. In Proceedings of the 8th IAPR International Workshop on Graphics RECognition (GREC'09), 2009.
An Approach to Automatic Road Vectorization of Raster Maps [pdf]Paper bibtex
Classification of Raster Maps for Automatic Feature Extraction. Chiang, Y.; and Knoblock, C. A In Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, of GIS '09, pages 138–147, New York, NY, USA, November 2009. ACM
Classification of Raster Maps for Automatic Feature Extraction [link]Paper Classification of Raster Maps for Automatic Feature Extraction [pdf]-file doi bibtex
Extracting geographic Features from the internet to automatically build detailed regional gazetteers. Goldberg, D. W.; Wilson, J. P.; and Knoblock, C. A. International Journal of Geographic Information Science, 23(1): 92-128. 2009.
Extracting geographic Features from the internet to automatically build detailed regional gazetteers [link]Link bibtex
Exploiting Background Knowledge to Build Reference Sets for Information Extraction. Michelson, M.; and Knoblock, C. A. In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI-2009), Pasadena, CA, 2009.
Exploiting Background Knowledge to Build Reference Sets for Information Extraction [pdf]Presentation Exploiting Background Knowledge to Build Reference Sets for Information Extraction [pdf]Paper bibtex
Timing effects of syllable structure and stress on nasals: A real-time MRI examination. Byrd, D.; Tobin, S.; Bresch, E.; and Narayanan, S. S. Journal of Phonetics, 37(1): 97-110. Jan 2009.
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Prominence detection using auditory attention cues and task-dependent high level information. Kalinli, O.; and Narayanan, S. S. IEEE Transactions on Audio, Speech, and Language Processing, 17(5): 1009-1024. Jul 2009.
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Energy-efficient multihypothesis activity-detection for health-monitoring applications. Thatte, G.; Li, M.; Emken, A.; Mitra, U.; Narayanan, S. S.; Annavaram, M.; and Spruijt-Metz, D. In Proceedings of the Annual International IEEE Engineering in Medicine and Biology Society (EMBS) Conference, volume 1, pages 4678-4681, Minneapolis, MN, Sep 2009.
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Effect of bandwidth extension to telephone speech recognition in cochlear implant users. Liu, C.; Fu, Q.; and Narayanan, S. S. Journal of the Acoustical Society of America, 125(2): EL77-EL83. Feb 2009.
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Context-driven automatic bilingual movie subtitle alignment. Tsiartas, A.; Ghosh, P. K.; Georgiou, P.; and Narayanan, S. S. In Proceedings of InterSpeech, Brighton, UK, Sep 2009.
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Interpreting ambiguous emotional expressions. Mower, E.; Metallinou, A.; Lee, C.; Kazemzadeh, A.; Busso, C.; Lee, S.; and Narayanan, S. S. In Proceedings of the International Conference on Affective Computing and Intelligent Interaction (ACII), Amsterdam, The Netherlands, Sep 2009.
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Saliency-driven unstructured acoustic scene classification using latent perceptual indexing. Kalinli, O.; Sundaram, S.; and Narayanan, S. S. In Proceedings of the IEEE International Workshop on Multimedia Signal Processing (MMSP), Rio de Janeiro, Brazil, Oct 2009.
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Emotion recognition using a hierarchical binary decision tree approach. Lee, C.; Mower, E.; Busso, C.; Lee, S.; and Narayanan, S. S. In Proceedings of InterSpeech, pages [2009 InterSpeech Emotion Challenge Award Winner], Brighton, UK, Sep 2009.
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Optimal time-resource allocation for activity-detection via multimodal sensing. Thatte, G.; Rozgic, V.; Li, M.; Ghosh, S.; Mitra, U.; Narayanan, S. S.; Annavaram, M.; and Spruijt-Metz, D. In Kaiser, W. J.; and Lu, C., editor(s), 4th International ICST Conference on Body Area Networks, BODYNETS 2009, Los Angeles, CA, USA, April 1-3, 2009, pages 14, 2009. ICST
Optimal time-resource allocation for activity-detection via multimodal sensing [link]Paper doi bibtex
Lattice-based lexical cues for word fragment detection in conversational speech. Audhkhasi, K.; Georgiou, P.; and Narayanan, S. S. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Merano, Italy, Dec 2009.
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Region segmentation in the frequency domain applied to upper airway real-time magnetic resonance images. Bresch, E.; and Narayanan, S. S. IEEE Transactions on Medical Imaging, 28(3): 323-338. Mar 2009.
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Closure duration analysis of incomplete stop consonants due to stop-stop interaction. Ghosh, P. K.; and Narayanan, S. S. Journal of the Acoustical Society of America, 126(1): EL1-EL7. Jul 2009.
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A robust harmony structure modeling scheme for classical music opus identification. Kim, S.; Georgiou, P.; and Narayanan, S. S. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 1961-1964, Taipei, Taiwan, Apr 2009.
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Predicting childrens reading ability using evaluator-informed features. Black, M. P.; Tepperman, J.; Lee, S.; and Narayanan, S. S. In Proceedings of InterSpeech, Brighton, UK, Sep 2009.
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Improved Speaker Diarization of Meeting Speech With Recurrent Selection of Representative Speech Segments and Participant Interaction Pattern Modeling. Han, K. J.; and Narayanan, S. S. In Proceedings of InterSpeech, pages 1067-1070, Brighton, UK, Sep 2009.
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A low-complexity dynamic face-voice feature fusion approach to multimodal person recognition. Shah, D.; Han, K. J.; and Narayanan, S. S. In Proceedings of the IEEE International Symposium on Multimedia (ISM), San Diego, California, Dec 2009.
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An articulatory study of lexicalized and epenthetic schwa using real time magnetic resonance imaging. Lammert, A.; Bresch, E.; Byrd, D.; Goldstein, L.; and Narayanan, S. S. In Proceedings of the Meeting of the Acoustical Society of America, Portland, Oregon, May 2009.
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Automatically rating pronunciation through articulatory phonology. Tepperman, J.; Goldstein, L.; Lee, S.; and Narayanan, S. S. In Proceedings of InterSpeech, Brighton, UK, Sep 2009.
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Signature cluster model selection for incremental Gaussian mixture cluster modeling in agglomerative hierarchical speaker clustering. Han, K. J.; and Narayanan, S. S. In Proceedings of InterSpeech, Brighton, UK, Sep 2009.
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Accelerated 3D MRI of vocal tract shaping using compressed sensing and parallel imaging. Kim, Y.; Narayanan, S. S.; and Nayak, K. S. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 389-392, Taipei, Taiwan, Apr 2009.
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Articulatory comparison of Tamil liquids and stops using real-time Magnetic Resonance Imaging. Proctor, M. I.; Goldstein, L.; Byrd, D.; Bresch, E.; and Narayanan, S. S. Journal of the Acoustical Society of America, 125(4): 2568-2568. May 2009.
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Continuous speech recognition using attention shift decoding with soft decision. Kalinli, O.; and Narayanan, S. S. In Proceedings of InterSpeech, Brighton, UK, Sep 2009.
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Modeling mutual influence of interlocutor emotion states in dyadic spoken interactions. Lee, C.; Busso, C.; Lee, S.; and Narayanan, S. S. In Proceedings of InterSpeech, Brighton, UK, Sep 2009.
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Sensing for obesity: KNOWME implementation and lessons for an architect. Lee, S.; Annavaram, M.; Thatte, G.; Rozgic, V.; Li, M.; Mitra, U.; Narayanan, S. S.; and Spruijt-Metz, D. In Proceedings of the Workshop on Biomedicine in Computing: Systems, Architectures, and Circuits (BiC), Austin, TX, Jun 2009.
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A detailed study of word-position effects on emotion expression in speech. Kim, J.; Lee, S.; and Narayanan, S. S. In Proceedings of InterSpeech, Brighton, UK, Sep 2009.
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Unsupervised adaptation of categorical prosody models for prosody labeling and speech recognition. Ananthakrishnan, S.; and Narayanan, S. S. IEEE Transactions on Audio, Speech, and Language Processing, 17(1): 138-149. Jan 2009.
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A semi-supervised learning approach to online audio background detection. Chu, S.; Narayanan, S. S.; and Kuo, C. J. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 1629-1632, Taipei, Taiwan, Apr 2009.
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Human perception of audio-visual synthetic character emotion expression in the presence of ambiguous and conflicting information. Mower, E.; Mataric, M. J.; and Narayanan, S. S. IEEE Transactions on Multimedia, 11(5): 843-855. Aug 2009.
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