192 search results - page 20 / 39 » Parallelizing Image Feature Extraction on Coarse-Grain Machi... |
MIR
2010
ACM
13 years 9 months ago
2010
ACM
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
PPOPP
1999
ACM
14 years 1 days ago
1999
ACM
Divide and conquer algorithms are a good match for modern parallel machines: they tend to have large amounts of inherent parallelism and they work well with caches and deep memory...
CORR
2010
Springer
2010
Springer
Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory
13 years 7 months ago
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and ...
AIRS
2006
Springer
13 years 11 months ago
2006
Springer
One of the main challenges in content-based image retrieval still remains to bridge the gap between low-level features and semantic information. In this paper, we present our first...
MM
2010
ACM
13 years 8 months ago
2010
ACM
In this paper we study the connection between sentiment of images expressed in metadata and their visual content in the social photo sharing environment Flickr. To this end, we co...