Publications

Found 101 results
Author [ Title(Desc)] Type Year
Filters: First Letter Of Title is G  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
G
Alpaydin, E. (1991).  GAL: Networks That Grow When They Learn and Shrink When They Forget.
Knightly, E. W., & Ventre G. (1993).  Galileo: a Tool for Simulation and Analysis of Real-Time Networks.
Karp, R. M., & Kenyon C. (2003).  A Gambling Game and its Application to the Analysis of Adaptive Randomized Rounding.
Bansal, M., Quirk C., & Moore R. C. (2011).  Gappy Phrasal Alignment by Agreement. 1308-1317.
Rodrigues, H., Santos J. Renato, Turner Y., Soares P., & Guedes D. (2011).  Gatekeeper: Supporting Bandwidth Guarantees for Multi-Tenant Datacenter Networks.
Kapoor, A., Grauman K., Urtasun R., & Darrell T. (2010).  Gaussian Processes for Object Categorization. International Journal of Computer Vision. 88(2), 169-188.
Konig, Y., Morgan N., & Chandra C. (1991).  GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition.
Konig, Y., Morgan N., & Chandra C. (1991).  GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition.
Konig, Y., & Morgan N. (1992).  GDNN: A Gender-Dependent Neural Network for Continuous Speech Recognition. Proceedings of the International Joint Conference on Neural Networks.
Shenker, S., & Wroclawski J. (1997).  General Characterization Parameters for Integrated Service Network Elements.
Sudholt, D. (2010).  General Lower Bounds for the Running Time of Evolutionary Algorithms. 124-133.
Lässig, J., & Sudholt D. (2010).  General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms. 234-243.
Morgan, N., & Bourlard H. (1989).  Generalization and Parameter Estimation in Feedforward Nets: Some.
Bourlard, H., & Morgan N. (1990).  Generalization and Parameter Estimation in Feedforward Nets: Some Experiments. Advances in Neural Information Processing Systems. II, 630-637.
Kääriäinen, M. (2005).  Generalization Error Bounds Using Unlabeled Data. Proceedings of the 18th Annual Conference on Learning Theory (COLT 2005). 127-142.
Karp, R. M. (1993).  A generalization of binary search. Proceedings of the Third Workshop on Algorithms and Data Structures (WADS'93). 27-34.
Pan, V., & Reif J. (1992).  Generalized Compact Multigrid (REVISED).
Cheng, O.., Dines J.., & Magimai-Doss M. (2007).  A Generalized Dynamic Composition Algorithm of Weighted Finite State Transducers for Large Vocabulary Speech Recognition. 4, 345-348.
Hatch, A., & Stolcke A. (2006).  Generalized Linear Kernels for One-Versus-All Classification: Application to Speaker Recognition. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006). 585-588.
Richter, M. M. (1997).  Generalized Planning and Information Retrieval.
Song, H. Oh, Girshick R., Zickler S., Geyer C., Felzenszwalb P., & Darrell T. (2015).  Generalized Sparselet Models for Real-Time Multiclass Object Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 1001-1012.
Müller, M., Berlekamp E., & Spight B. (1996).  Generalized Thermography: Algorithms, Implementation, and Application to Go Endgame.
Werther, T. (1993).  Generalized Vandermonde Determinants Over the Chebyshev Basis.
Krishnamoorthy, N., Malkarnenkar G., Mooney R., Saenko K., & Guadarrama S. (2013).  Generating Natural-Language Video Descriptions Using Text-Mined Knowledge.
Allman, M. (1998).  On the Generation and Use of TCP Acknowledgments. ACM Computer Communication Review. 28,

Pages