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146
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ICML
2000
IEEE
16 years 4 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
139
Voted
DCC
2006
IEEE
16 years 3 months ago
Tradeoffs in XML Database Compression
Large XML data files, or XML databases, are now a common way to distribute scientific and bibliographic data, and storing such data efficiently is an important concern. A number o...
James Cheney
130
Voted
CAIP
2009
Springer
211views Image Analysis» more  CAIP 2009»
15 years 10 months ago
Contextual-Guided Bag-of-Visual-Words Model for Multi-class Object Categorization
Abstract. Bag-of-words model (BOW) is inspired by the text classification problem, where a document is represented by an unsorted set of contained words. Analogously, in the objec...
Mehdi Mirza-Mohammadi, Sergio Escalera, Petia Rade...
125
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Mutual features for robust identification and verification
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
Heiko Claussen, Justinian Rosca, Robert I. Damper
156
Voted
ACMDIS
2006
ACM
15 years 9 months ago
Popcorn: the personal knowledge base
People often use powerful tools to manage the documents they encounter, but very rarely to store the mental knowledge they glean from those documents. Popcorn is a personal knowle...
Stephen Davies, Scotty Allen, Jon Raphaelson, Emil...