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ICML
2005
IEEE
16 years 7 months ago
Fast inference and learning in large-state-space HMMs
For Hidden Markov Models (HMMs) with fully connected transition models, the three fundamental problems of evaluating the likelihood of an observation sequence, estimating an optim...
Sajid M. Siddiqi, Andrew W. Moore
ICMCS
2006
IEEE
344views Multimedia» more  ICMCS 2006»
16 years 25 days ago
Pattern Mining in Visual Concept Streams
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
Lexing Xie, Shih-Fu Chang
SIGIR
2008
ACM
15 years 6 months ago
Multi-document summarization using cluster-based link analysis
The Markov Random Walk model has been recently exploited for multi-document summarization by making use of the link relationships between sentences in the document set, under the ...
Xiaojun Wan, Jianwu Yang
JMLR
2010
160views more  JMLR 2010»
15 years 1 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
ACL
1993
15 years 8 months ago
Extending Kimmo's Two-Level Model of Morphology
This paper describes the problems faced while using Kimmo's two-level model to describe certain Indian languages such as Tamil and Hindi. The two-level model is shown to be d...
Anoop Sarkar