Papers
172,654 papers found
Relational Dependency Networks
Jennifer Neville, David Jensen
Retrieved context and the discovery of semantic structure
Vinayak Rao, Marc Howard
Revised Loss Bounds for the Set Covering Machine and Sample-Compression Loss Bounds for Imbalanced Data
Zakria Hussain, François Laviolette, Mario Marchand et al.
Robust Regression with Twinned Gaussian Processes
Andrew Naish-guzman, Sean Holden
Safety Evaluation of Physical Human-Robot Interaction via Crash-Testing
Sami Haddadin, Alin Albu-Schäffer, and Gerd Hirzinger
Scan Strategies for Meteorological Radars
Victoria Manfredi, Jim Kurose
Scene Segmentation with CRFs Learned from Partially Labeled Images
Bill Triggs, Jakob J. Verbeek
Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Christoforos Christoforou, Paul Sajda, Lucas C. Parra
Selecting Observations against Adversarial Objectives
Andreas Krause, Brendan Mcmahan, Carlos Guestrin et al.
Semantic Modeling of Places using Objects
Ananth Ranganathan and Frank Dellaert
Semi-Supervised Multitask Learning
Qiuhua Liu, Xuejun Liao, Lawrence Carin
Separating Models of Learning from Correlated and Uncorrelated Data
Ariel Elbaz, Homin K. Lee, Rocco A. Servedio et al.
Sequential Hypothesis Testing under Stochastic Deadlines
Peter Frazier, Angela J. Yu
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
Lars Buesing, Wolfgang Maass
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
Andrea Lecchini-visintini, John Lygeros, Jan Maciejowski
Simultaneous Localisation and Mapping in Dynamic Environments (SLAMIDE) with Reversible Data Associa
Charles Bibby and Ian Reid
Sliding mode formation tracking control of a tractor and trailer-car system
Fabio Morbidi and Domenico Prattichizzo
SpAM: Sparse Additive Models
Han Liu, Larry Wasserman, John D. Lafferty et al.
Sparse deep belief net model for visual area V2
Honglak Lee, Chaitanya Ekanadham, Andrew Y. Ng
Sparse Feature Learning for Deep Belief Networks
Marc'aurelio Ranzato, Y-lan Boureau, Yann L. Cun
Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results
Peter L. Bartlett, Ambuj Tewari
Sparse Overcomplete Latent Variable Decomposition of Counts Data
Madhusudana Shashanka, Bhiksha Raj, Paris Smaragdis
Spatial Latent Dirichlet Allocation
Xiaogang Wang, Eric Grimson
Spatially-Adaptive Learning Rates for Online Incremental SLAM
Edwin Olson, John Leonard, and Seth Teller
Spherical-Homoscedastic Distributions: The Equivalency of Spherical and Normal Distributions in Classification
Onur C. Hamsici, Aleix M. Martinez