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» Intrinsic Geometries in Learning
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MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 1 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
NIPS
2008
13 years 9 months ago
Non-parametric Regression Between Manifolds
This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
Florian Steinke, Matthias Hein
ECCV
2000
Springer
14 years 9 months ago
Camera Pose Estimation and Reconstruction from Image Profiles under Circular Motion
Abstract. This paper addresses the problem of motion estimation and reconstruction of 3D models from profiles of an object rotating on a turntable, obtained from a single camera. I...
Paulo R. S. Mendonça, Kwan-Yee Kenneth Wong...
DAC
2008
ACM
14 years 8 months ago
Analysis and implications of parasitic and screening effects on the high-frequency/RF performance of tunneling-carbon nanotube F
Intrinsic and parasitic capacitances play an important role in determining the high?frequency RF performance of devices. Recently, a new type of carbon nanotube field effect trans...
Chaitanya Kshirsagar, Mohamed N. El-Zeftawi, Kaust...
GECCO
2009
Springer
14 years 10 days ago
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...
Andrea Soltoggio, Ben Jones