204 search results - page 16 / 41 » Scaling the Kernel Function to Improve Performance of the Su... |
BMVC
2010
13 years 6 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
ICCV
2007
IEEE
14 years 10 months ago
2007
IEEE
We propose using the proximity distribution of vectorquantized local feature descriptors for object and category recognition. To this end, we introduce a novel "proximity dis...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...