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PRL
2006
106views more  PRL 2006»
15 years 22 days ago
Invariances in kernel methods: From samples to objects
This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...
Alexei Pozdnoukhov, Samy Bengio
97
Voted
PUC
2006
128views more  PUC 2006»
15 years 22 days ago
A cube to learn: a tangible user interface for the design of a learning appliance
In this paper we introduce the design and development of the Learning Cube as a novel tangible learning appliance. Using the common shape of a cube we implemented a general learnin...
Lucia Terrenghi, Matthias Kranz, Paul Holleis, Alb...
138
Voted
CGF
2005
167views more  CGF 2005»
15 years 21 days ago
Adaptive Deformable Models for Graphics and Vision
Deformable models are a powerful tool in both computer graphics and computer vision. The description and implementation of the deformations have to be simultaneously flexible and ...
Siome Goldenstein, Christian Vogler, Luiz Velho
PAMI
2002
177views more  PAMI 2002»
15 years 14 days ago
Adjusting Shape Parameters Using Model-Based Optical Flow Residuals
We present a method for estimating the shape of a deformable model using the least-squares residuals from a model-based optical flow computation. This method is built on top of an...
Douglas DeCarlo, Dimitris N. Metaxas
103
Voted
CORR
2010
Springer
92views Education» more  CORR 2010»
14 years 11 months ago
Random Projections for $k$-means Clustering
This paper discusses the topic of dimensionality reduction for k-means clustering. We prove that any set of n points in d dimensions (rows in a matrix A ∈ Rn×d ) can be project...
Christos Boutsidis, Anastasios Zouzias, Petros Dri...