Sciweavers

57 search results - page 5 / 12
» Low-Rank Similarity Metric Learning in High Dimensions
Sort
View
AAAI
2008
13 years 11 months ago
Dimension Amnesic Pyramid Match Kernel
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...
Yi Liu, Xulei Wang, Hongbin Zha
KDD
2004
ACM
216views Data Mining» more  KDD 2004»
14 years 9 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li
ACCV
2009
Springer
13 years 12 months ago
Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...
Xiangyang Liu, Hongtao Lu, Daqiang Zhang
FPL
2006
Springer
96views Hardware» more  FPL 2006»
14 years 6 days ago
High Speed Document Clustering in Reconfigurable Hardware
High-performance document clustering systems enable similar documents to automatically self-organize into groups. In the past, the large amount of computational time needed to clu...
G. Adam Covington, Charles L. G. Comstock, Andrew ...
JAIR
2010
94views more  JAIR 2010»
13 years 7 months ago
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Sajib Dasgupta, Vincent Ng