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» Kernel methods for learning languages
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CVPR
2008
IEEE
13 years 11 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
NAACL
2007
13 years 10 months ago
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
Ding Liu, Daniel Gildea
ICIP
2008
IEEE
14 years 10 months ago
A supervised nonlinear neighborhood embedding of color histogram for image indexing
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
Xian-Hua Han, Yen-Wei Chen, Takeshi Sukegawa
ITICSE
2005
ACM
14 years 2 months ago
Teaching programming and language concepts using LEGOs
concepts more concrete. The method has two main learning outcomes: • Language Specification – The goal of the assignment is to be able to build LEGO® creations on a standard g...
Cynthia S. Hood, Dennis J. Hood
CVPR
2012
IEEE
11 years 11 months ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez