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JSAT
2006
109views more  JSAT 2006»
15 years 4 months ago
Decomposing SAT Problems into Connected Components
Many SAT instances can be decomposed into connected components either initially after preprocessing or during the solution phase when new unit conflict clauses are learned. This o...
Armin Biere, Carsten Sinz
144
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ESWA
2007
117views more  ESWA 2007»
15 years 4 months ago
An HMM for detecting spam mail
Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidde...
José Gordillo, Eduardo Conde
PAMI
2008
175views more  PAMI 2008»
15 years 4 months ago
Discriminative Feature Co-Occurrence Selection for Object Detection
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
Takeshi Mita, Toshimitsu Kaneko, Björn Stenge...
PRL
2008
181views more  PRL 2008»
15 years 4 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
IJRR
2007
186views more  IJRR 2007»
15 years 4 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz