1334 search results - page 129 / 267 » Composite kernel learning |
141
Voted
ICIP
2003
IEEE
16 years 5 months ago
2003
IEEE
Relevance feedback is an attractive approach to developing flexible metrics for content-based retrieval in image and video databases. Large image databases require an index struct...
119
Voted
WWW
2006
ACM
16 years 4 months ago
2006
ACM
Determining the similarity of short text snippets, such as search queries, works poorly with traditional document similarity measures (e.g., cosine), since there are often few, if...
168
Voted
PSIVT
2009
Springer
15 years 10 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
157
Voted
ICANN
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
129
click to vote
AAAI
2008
15 years 5 months ago
2008
With the success of local features in object recognition, feature-set representations are widely used in computer vision and related domains. Pyramid match kernel (PMK) is an effi...