394 search results - page 51 / 79 » Comparative Exudate Classification Using Support Vector Mach... |
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
ALMOB
2008
13 years 8 months ago
2008
Background: The application of machine learning to classification problems that depend only on positive examples is gaining attention in the computational biology community. We an...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
ICIP
2002
IEEE
14 years 10 months ago
2002
IEEE
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
TRECVID
2008
13 years 10 months ago
2008
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...