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» Pruning Training Sets for Learning of Object Categories
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ACMIDC
2009
14 years 1 months ago
Designing for physical-digital correspondence in tangible learning environments
In tangible learning environments the potential to exploit different physical-digital links increases representational power but also broadens the complexity of design. This paper...
Sara Price, Taciana Pontual Falcão
CVPR
2011
IEEE
13 years 4 months ago
Recognition Using Visual Phrases
In this paper we introduce visual phrases, complex visual composites like “a person riding a horse”. Visual phrases often display significantly reduced visual complexity comp...
Ali Farhadi, Mohammad Amin Sadeghi
AAAI
2012
11 years 11 months ago
Relative Attributes for Enhanced Human-Machine Communication
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
Devi Parikh, Adriana Kovashka, Amar Parkash, Krist...
CVPR
2008
IEEE
14 years 11 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen
ECCV
2004
Springer
14 years 2 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang