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IVC
2008
69views more  IVC 2008»
15 years 1 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
RAS
2008
139views more  RAS 2008»
15 years 1 months ago
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
Pablo Espinace, Daniel Langdon, Alvaro Soto
CVPR
2011
IEEE
14 years 11 months ago
Unsupervised Auxiliary Visual Words Discovery for Large-Scale Image Object Retrieval
Image object retrieval – locating image occurrences of specific objects in large-scale image collections – is essential for manipulating the sheer amount of photos. Current s...
Yin-Hsi Kuo, Hsuan-Tien Lin, Wen-Huang Cheng, Yi-H...
ACCV
2010
Springer
14 years 9 months ago
An Unsupervised Framework for Action Recognition Using Actemes
Abstract. In speech recognition, phonemes have demonstrated their efficacy to model the words of a language. While they are well defined for languages, their extension to human act...
Kaustubh Kulkarni, Edmond Boyer, Radu Horaud, Amit...
POPL
2006
ACM
16 years 2 months ago
The next 700 data description languages
In the spirit of Landin, we present a calculus of dependent types to serve as the semantic foundation for a family of languages called data description languages. Such languages, ...
Kathleen Fisher, Yitzhak Mandelbaum, David Walker