Papers
176,624 papers found
Canonical Time Warping for Alignment of Human Behavior
Feng Zhou, Fernando Torre
CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning
Roberto Esposito, Daniele P. Radicioni
Cautious Collective Classification
Luke K. McDowell, Kalyan Moy Gupta, David W. Aha
Cellular muscle actuators with variable resonant frequencies
T. W. Secord and H. H. Asada
Centralized path planning for multiple robots: Optimal decoupling into sequential plans
J. van den Berg, J. Snoeyink, M. Lin and D. Manocha
Classification with Gaussians and Convex Loss
Dao-Hong Xiang, Ding-Xuan Zhou
Clustering sequence sets for motif discovery
Jong K. Kim, Seungjin Choi
Code-specific policy gradient rules for spiking neurons
Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner
Complexity of Decentralized Control: Special Cases
Martin Allen, Shlomo Zilberstein
Compositionality of optimal control laws
Emanuel Todorov
Compressed Least-Squares Regression
Odalric Maillard, Rémi Munos
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors
Mathias Drton, Michael Eichler, Thomas S. Richardson
Conditional Neural Fields
Jian Peng, Liefeng Bo, Jinbo Xu
Conditional Random Fields with High-Order Features for Sequence Labeling
Nan Ye, Wee S. Lee, Hai L. Chieu et al.
Consistency and Localizability
Alon Zakai, Ya'acov Ritov
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection
Roy Anati, Kostas Daniilidis
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
Hamid R. Maei, Csaba Szepesvári, Shalabh Bhatnagar et al.
Convex Relaxation of Mixture Regression with Efficient Algorithms
Novi Quadrianto, John Lim, Dale Schuurmans et al.
Cooperative manipulation and transportation with aerial robots
N. Michael, J. Fink and V. Kumar
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies
Arno Onken, Steffen Grünewälder, Klaus Obermayer
Data-driven calibration of linear estimators with minimal penalties
Sylvain Arlot, Francis R. Bach
Data-driven Calibration of Penalties for Least-Squares Regression
Sylvain Arlot, Pascal Massart
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
Chong Wang, David M. Blei