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ICML
2004
IEEE
16 years 7 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
AI
2009
Springer
16 years 1 months ago
An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri...
MIR
2006
ACM
145views Multimedia» more  MIR 2006»
16 years 17 days ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
ADC
2006
Springer
136views Database» more  ADC 2006»
16 years 18 days ago
A multi-step strategy for approximate similarity search in image databases
Many strategies for similarity search in image databases assume a metric and quadratic form-based similarity model where an optimal lower bounding distance function exists for fil...
Paul Wing Hing Kwan, Junbin Gao
ASM
2010
ASM
15 years 10 months ago
Starting B Specifications from Use Cases
The B method is one of the most used formal methods, when reactive systems is under question, due to good support for refinement. However, obtaining the formal model from requireme...
Thiago C. de Sousa, Aryldo G. Russo