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» Distributional Features for Text Categorization
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CVPR
2012
IEEE
13 years 2 months ago
Image categorization using Fisher kernels of non-iid image models
The bag-of-words (BoW) model treats images as an unordered set of local regions and represents them by visual word histograms. Implicitly, regions are assumed to be identically an...
Ramazan Gokberk Cinbis, Jakob J. Verbeek, Cordelia...
CVPR
2008
IEEE
16 years 1 months ago
Semantic texton forests for image categorization and segmentation
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not ne...
Jamie Shotton, Matthew Johnson, Roberto Cipolla
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
15 years 5 months ago
TV Commercial Classification by using Multi-Modal Textual Information
In this paper, we propose an approach for TV commercial video classification by the categories of advertised products or services (e.g. automobiles, healthcare products, etc). Sin...
Yantao Zheng, Lingyu Duan, Qi Tian, Jesse S. Jin
ICCV
2007
IEEE
16 years 1 months ago
Proximity Distribution Kernels for Geometric Context in Category Recognition
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
Haibin Ling, Stefano Soatto
UAI
2008
15 years 1 months ago
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
Although fully generative models have been successfully used to model the contents of text documents, they are often awkward to apply to combinations of text data and document met...
David M. Mimno, Andrew McCallum