Papers
K-means recovers ICA filters when independent components are sparse
Alon Vinnikov, Shai Shalev-Shwartz
Kneser-Ney Smoothing on Expected Counts
Hui Zhang, David Chiang
Knowledge-Based Question Answering as Machine Translation
Junwei Bao, Nan Duan, Ming Zhou et al.
Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries
Mandar Joshi, Uma Sawant, Soumen Chakrabarti
Knowledge Graph and Text Jointly Embedding
Zhen Wang, Jianwen Zhang, Jianlin Feng et al.
Knowledge Sharing via Social Login: Exploiting Microblogging Service for Warming up Social Question Answering Websites
Yang Xiao, Wayne Xin Zhao, Kun Wang et al.
KUL-Eval: A Combinatory Categorial Grammar Approach for Improving Semantic Parsing of Robot Commands using Spatial Context
Willem Mattelaer, Mathias Verbeke, Davide Nitti
KUNLPLab:Sentiment Analysis on Twitter Data
Beakal Gizachew Assefa
KyotoEBMT: An Example-Based Dependency-to-Dependency Translation Framework
John Richardson, Fabien Cromières, Toshiaki Nakazawa et al.
l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence
Chenglong Bao, Hui Ji, Yuhui Quan et al.
L0 Regularized Stationary Time Estimation for Crowd Group Analysis
Shuai Yi, Xiaogang Wang, Cewu Lu et al.
Labelling Topics using Unsupervised Graph-based Methods
Nikolaos Aletras, Mark Stevenson
Lacunarity Analysis on Image Patterns for Texture Classification
Yuhui Quan, Yong Xu, Yuping Sun et al.
LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series
Yubin Park, Carlos Carvalho, Joydeep Ghosh
Language-Aware Truth Assessment of Fact Candidates
Ndapandula Nakashole, Tom M. Mitchell
Language Modeling with Functional Head Constraint for Code Switching Speech Recognition
Ying Li, Pascale Fung
Language Modeling with Power Low Rank Ensembles
Ankur P. Parikh, Avneesh Saluja, Chris Dyer et al.
Language Transfer Hypotheses with Linear SVM Weights
Shervin Malmasi, Mark Dras
Laplacian Coordinates for Seeded Image Segmentation
Wallace Casaca, Luis Gustavo Nonato, Gabriel Taubin
Large-Margin Convex Polytope Machine
Alex Kantchelian, Michael C Tschantz, Ling Huang et al.
Large-Margin Metric Learning for Constrained Partitioning Problems
Rémi Lajugie, Francis Bach, Sylvain Arlot
Large-margin Weakly Supervised Dimensionality Reduction
Chang Xu, Dacheng Tao, Chao Xu et al.
large scale canonical correlation analysis with iterative least squares
Yichao Lu, Dean P. Foster