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ICCV
2011
IEEE
12 years 7 months ago
Human Action Recognition by Learning Bases of Action Attributes and Parts
In this work, we propose to use attributes and parts for recognizing human actions in still images. We define action attributes as the verbs that describe the properties of human...
Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy La...
ML
2006
ACM
110views Machine Learning» more  ML 2006»
13 years 7 months ago
Distribution-based aggregation for relational learning with identifier attributes
Abstract Identifier attributes--very high-dimensional categorical attributes such as particular product ids or people's names--rarely are incorporated in statistical modeling....
Claudia Perlich, Foster J. Provost
IJCAI
1993
13 years 8 months ago
Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
Usama M. Fayyad, Keki B. Irani
WWW
2011
ACM
13 years 2 months ago
Learning facial attributes by crowdsourcing in social media
Facial attributes such as gender, race, age, hair style, etc., carry rich information for locating designated persons and profiling the communities from image/video collections (...
Yan-Ying Chen, Winston H. Hsu, Hong-Yuan Mark Liao
ISCI
1998
139views more  ISCI 1998»
13 years 7 months ago
A Rough Set Approach to Attribute Generalization in Data Mining
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
Chien-Chung Chan