154 search results - page 30 / 31 » A General Cost Model for Dimensionality Reduction in High Di... |
ESANN
2006
13 years 6 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
ISCA
2008
IEEE
13 years 11 months ago
2008
IEEE
Recently, Network-on-Chip (NoC) architectures have gained popularity to address the interconnect delay problem for designing CMP / multi-core / SoC systems in deep sub-micron tech...
MM
2010
ACM
13 years 5 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...