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ICASSP
2011
IEEE
13 years 21 days ago
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learn
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
Toru Nakashika, Akira Suga, Tetsuya Takiguchi, Yas...
IMC
2004
ACM
14 years 2 months ago
Introducing scalability in network measurement: toward 10 Gbps with commodity hardware
The capacity of today's network links, along with the heterogeneity of their traffic, is rapidly growing, more than the workstation’s processing power. This makes the task ...
Loris Degioanni, Gianluca Varenni
ICIP
2005
IEEE
14 years 10 months ago
Evaluation of color spaces for edge classification in outdoor scenes
Knowing which edges in an image denote shadow edges and which are due to object boundaries or changes in surface reflectance has important applications in both computer vision and...
Erum Arif Khan, Erik Reinhard
JMLR
2010
119views more  JMLR 2010»
13 years 3 months ago
The Coding Divergence for Measuring the Complexity of Separating Two Sets
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Mahito Sugiyama, Akihiro Yamamoto
IJCNN
2008
IEEE
14 years 3 months ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri