We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
Objectives: To discuss the relationships between ontologies, terminologies and language in the context of Natural Language Processing (NLP) applications in order to show the negat...
Robert H. Baud, Werner Ceusters, Patrick Ruch, Ann...
This paper deals with the adaptation problem raised by the fact that H.264/AVC standard is rapidly being adopted by content and service providers while at the user side MPEG-2 equ...
The focus of this work is on the problem of feature extraction for vehicle detection. Feature extraction is a key point of pattern recognition. In particular, we propose using imp...
Xuezhi Wen, Wei Liu, Nan Wang, Huai Yuan, Hong Zha...