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» Extending the Adaptability of Reference Models
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SIGIR
2012
ACM
13 years 3 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
CVPR
2009
IEEE
16 years 8 months ago
A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data
We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only ...
Qian-Yi Zhou (University of Southern California), ...
CVPR
2007
IEEE
16 years 3 months ago
Monocular and Stereo Methods for AAM Learning from Video
The active appearance model (AAM) is a powerful method for modeling deformable visual objects. One of the major drawbacks of the AAM is that it requires a training set of pseudo-d...
Jason Saragih, Roland Göcke
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
15 years 7 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
ASIACRYPT
2005
Springer
15 years 7 months ago
Identity-Based Hierarchical Strongly Key-Insulated Encryption and Its Application
In this paper, we discuss non-interactive updating of decryption keys in identity-based encryption (IBE). IBE is a public key cryptosystem where a public key is an arbitrary strin...
Yumiko Hanaoka, Goichiro Hanaoka, Junji Shikata, H...