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» FeatureMapper: mapping features to models
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CVPR
2009
IEEE
16 years 11 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
123
Voted
ICANN
2007
Springer
15 years 10 months ago
Inferring Cognition from fMRI Brain Images
Abstract. Over the last few years, functional Magnetic Resonance Imaging (fMRI) has emerged as a new and powerful method to map the cognitive states of a human subject to specific...
Diego Sona, Sriharsha Veeramachaneni, Emanuele Oli...
149
Voted
MM
2004
ACM
219views Multimedia» more  MM 2004»
15 years 9 months ago
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
Jianping Fan, Yuli Gao, Hangzai Luo
COMPSAC
2002
IEEE
15 years 9 months ago
Control-Driven Coordination Based Assembling of Components
The coordination paradigm has been used extensively as a mechanism for software composition and integration. Consequently, a number of associated models and languages have been pr...
Avraam Chimaris, George A. Papadopoulos
IROS
2007
IEEE
189views Robotics» more  IROS 2007»
15 years 10 months ago
Person following with a mobile robot using binocular feature-based tracking
Abstract— We present the Binocular Sparse Feature Segmentation (BSFS) algorithm for vision-based person following with a mobile robot. BSFS uses Lucas-Kanade feature detection an...
Zhichao Chen, Stanley T. Birchfield