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ICPR
2006
IEEE
16 years 5 months ago
Weakly Supervised Learning on Pre-image Problem in Kernel Methods
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
Weishi Zheng, Jian-Huang Lai, Pong Chi Yuen
FOCM
2008
140views more  FOCM 2008»
15 years 4 months ago
Online Gradient Descent Learning Algorithms
This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...
Yiming Ying, Massimiliano Pontil
CORR
2010
Springer
110views Education» more  CORR 2010»
15 years 2 months ago
Learning Multi-modal Similarity
In many applications involving multi-media data, the definition of similarity between items is integral to several key tasks, including nearest-neighbor retrieval, classification,...
Brian McFee, Gert R. G. Lanckriet
DAGM
2011
Springer
14 years 4 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
DIMEA
2008
164views Multimedia» more  DIMEA 2008»
15 years 6 months ago
Lessons learned: game design for large public displays
This paper presents the design and deployment of Polar Defence, an interactive game for a large public display. We designed this display based on a model of "users" and ...
Matthias Finke, Anthony Tang, Rock Leung, Michael ...