Papers
Local Linear Convergence of Forward--Backward under Partial Smoothness
Jingwei Liang, Jalal Fadili, Gabriel Peyré
Locally Adaptive Factor Processes for Multivariate Time Series
Daniele Durante, Bruno Scarpa, David B. Dunson
Locally Linear Hashing for Extracting Non-Linear Manifolds
Go Irie, Zhenguo Li, Xiao-Ming Wu et al.
Locally Optimized Product Quantization for Approximate Nearest Neighbor Search
Yannis Kalantidis, Yannis Avrithis
Local Ordinal Embedding
Yoshikazu Terada, Ulrike Luxburg
Local Readjustment for High-Resolution 3D Reconstruction
Siyu Zhu, Tian Fang, Jianxiong Xiao et al.
Local Regularity-driven City-scale Facade Detection from Aerial Images
Jingchen Liu, Yanxi Liu
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
Minh Ha Quang, Marco San Biagio, Vittorio Murino
Logical Inference on Dependency-based Compositional Semantics
Ran Tian, Yusuke Miyao, Takuya Matsuzaki
Logistic Regression: Tight Bounds for Stochastic and Online Optimization
Elad Hazan, Tomer Koren, Kfir Y. Levy
Look at the Driver, Look at the Road: No Distraction! No Accident!
Mahdi Rezaei, Reinhard Klette
Looking at Unbalanced Specialized Comparable Corpora for Bilingual Lexicon Extraction
Emmanuel Morin, Amir Hazem
Looking Beyond the Visible Scene
Aditya Khosla, Byoungkwon An An, Joseph J. Lim et al.
Looking for Hyponyms in Vector Space
Marek Rei, Ted Briscoe
Loopy Belief Propagation in the Presence of Determinism
David Smith, Vibhav Gogate
Low-Cost Compressive Sensing for Color Video and Depth
Xin Yuan, Patrick Llull, Xuejun Liao et al.
Low-density Parity Constraints for Hashing-Based Discrete Integration
Stefano Ermon, Carla Gomes, Ashish Sabharwal et al.
Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference
David Mimno, Moontae Lee
Low-Dimensional Manifold Distributional Semantic Models
Georgia Athanasopoulou, Elias Iosif, Alexandros Potamianos
Low-dimensional models of neural population activity in sensory cortical circuits
Evan W Archer, Urs Koster, Jonathan W Pillow et al.
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians
Christopher Tosh, Sanjoy Dasgupta
Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression
Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan
Low Rank Approximation Lower Bounds in Row-Update Streams
David Woodruff
Low-Rank Spectral Learning
Alex Kulesza, N. Raj Rao, Satinder Singh
Low-Rank Tensors for Scoring Dependency Structures
Tao Lei, Yu Xin, Yuan Zhang et al.