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MM
2010
ACM
199views Multimedia» more  MM 2010»
15 years 6 months ago
TOP-SURF: a visual words toolkit
TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of conte...
Bart Thomee, Erwin M. Bakker, Michael S. Lew
CIVR
2009
Springer
221views Image Analysis» more  CIVR 2009»
16 years 20 days ago
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Movies segmentation into semantically correlated units is a quite tedious task due to ”semantic gap”. Low-level features do not provide useful information about the semantical...
Vasileios Chasanis, Argyris Kalogeratos, Aristidis...
205
Voted
AIRS
2004
Springer
15 years 11 months ago
Automatic Word Clustering for Text Categorization Using Global Information
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Wenliang Chen, Xingzhi Chang, Huizhen Wang, Jingbo...
FCT
1991
Springer
15 years 9 months ago
The Complexity of Computing Maximal Word Functions
Maximal word functions occur in data retrieval applications and have connections with ranking problems, which in turn were rst investigated in relation to data compression 21 . By ...
Danilo Bruschi, Giovanni Pighizzini
LREC
2010
215views Education» more  LREC 2010»
15 years 7 months ago
Evaluation Metrics for Persuasive NLP with Google AdWords
Evaluating systems and theories about persuasion represents a bottleneck for both theoretical and applied fields: experiments are usually expensive and time consuming. Still, meas...
Marco Guerini, Carlo Strapparava, Oliviero Stock