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ACL
2012
13 years 9 months ago
Attacking Parsing Bottlenecks with Unlabeled Data and Relevant Factorizations
Prepositions and conjunctions are two of the largest remaining bottlenecks in parsing. Across various existing parsers, these two categories have the lowest accuracies, and mistak...
Emily Pitler
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 7 months ago
BLOSOM: a framework for mining arbitrary boolean expressions
We introduce a novel framework (BLOSOM) for mining (frequent) boolean expressions over binary-valued datasets. We organize the space of boolean expressions into four categories: p...
Lizhuang Zhao, Mohammed J. Zaki, Naren Ramakrishna...
CVPR
2009
IEEE
16 years 4 months ago
Recognizing human group activities with localized causalities
The aim of this paper is to address the problem of recognizing human group activities in surveillance videos. This task has great potentials in practice, however was rarely studie...
Ashraf A. Kassim, Bingbing Ni, Shuicheng Yan
CVPR
2007
IEEE
16 years 28 days ago
Fisher Kernels on Visual Vocabularies for Image Categorization
Within the field of pattern classification, the Fisher kernel is a powerful framework which combines the strengths of generative and discriminative approaches. The idea is to ch...
Florent Perronnin, Christopher R. Dance
CIVR
2007
Springer
104views Image Analysis» more  CIVR 2007»
16 years 23 days ago
Semantic facets: an in-depth analysis of a semantic image retrieval system
This paper introduces a faceted model of image semantics which attempts to express the richness of semantic content interpretable within an image. Using a large image data-set fro...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...