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ICML
2008
IEEE
14 years 8 months ago
Accurate max-margin training for structured output spaces
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...
Sunita Sarawagi, Rahul Gupta
CORR
2012
Springer
220views Education» more  CORR 2012»
12 years 3 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
SAS
2004
Springer
132views Formal Methods» more  SAS 2004»
14 years 25 days ago
Modular and Constraint-Based Information Flow Inference for an Object-Oriented Language
Abstract. This paper addresses the problem of checking programs written in an object-oriented language to ensure that they satisfy the information flow policies, confidentiality ...
Qi Sun, Anindya Banerjee, David A. Naumann
EWRL
2008
13 years 9 months ago
Probabilistic Inference for Fast Learning in Control
Carl Edward Rasmussen, Marc Peter Deisenroth
CVPR
2010
IEEE
14 years 3 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr