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» Modeling word burstiness using the Dirichlet distribution
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NIPS
2004
15 years 1 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
JSSPP
2009
Springer
15 years 6 months ago
Modeling Parallel System Workloads with Temporal Locality
In parallel systems, similar jobs tend to arrive within bursty periods. This fact leads to the existence of the locality phenomenon, a persistent similarity between nearby jobs, in...
Tran Ngoc Minh, Lex Wolters
98
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ECCV
2010
Springer
15 years 5 months ago
Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation
Abstract. We address the problem of having insufficient labels in an interactive image segmentation framework, for which most current methods would fail without further user inter...
ACL
1994
15 years 1 months ago
Similarity-Based Estimation of Word Cooccurrence Probabilities
In many applications of natural language processing it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may need to determine...
Ido Dagan, Fernando C. N. Pereira, Lillian Lee
ICPR
2004
IEEE
16 years 26 days ago
Discriminatory Power of Handwritten Words for Writer Recognition
Analysis of allographs (characters) and allograph combinations (words) is the key for the identification/verification of a writer's handwriting. While allographs are usually ...
Bin Zhang, Catalin I. Tomai, Sargur N. Srihari