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ECCV
2008
Springer
14 years 9 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
14 years 6 days ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
SIGECOM
2003
ACM
122views ECommerce» more  SIGECOM 2003»
14 years 27 days ago
On polynomial-time preference elicitation with value queries
Preference elicitation — the process of asking queries to determine parties’ preferences — is a key part of many problems in electronic commerce. For example, a shopping age...
Martin Zinkevich, Avrim Blum, Tuomas Sandholm
HUMO
2007
Springer
14 years 1 months ago
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition
We propose a new method for human action recognition from video sequences using latent topic models. Video sequences are represented by a novel “bag-of-words” representation, w...
Yang Wang 0003, Payam Sabzmeydani, Greg Mori
ADBIS
2000
Springer
188views Database» more  ADBIS 2000»
14 years 12 hour ago
Algorithms for Rewriting Aggregate Queries Using Views
Queries involving aggregation are typical in a number of database research areas, such as data warehousing, global information systems and mobile computing. One of the main ideas ...
Sara Cohen, Werner Nutt, Alexander Serebrenik