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EMNLP
2007
13 years 12 months ago
Finding Good Sequential Model Structures using Output Transformations
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelā...
Edward Loper
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 5 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an eļ¬ƒcient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
KR
1992
Springer
14 years 2 months ago
Intelligent Backtracking Techniques for Job Shop Scheduling
This paper studies a version of the job shop scheduling problem in which some operations have to be scheduled within non-relaxable time windows i.e. earliest latest possible start...
Yalin Xiong, Norman M. Sadeh, Katia P. Sycara
CVPR
2010
IEEE
14 years 2 months ago
On the design of robust classifiers for computer vision
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Vijay Mah...
ICCV
2011
IEEE
12 years 10 months ago
Understanding Egocentric Activities
We present a method to analyze daily activities, such as meal preparation, using video from an egocentric camera. Our method performs inference about activities, actions, hands, a...
Alireza Fathi, Ali Farhadi, James M. Rehg