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Optimal Approximations of the Frequency Moments
(2004-07-02)
We give a one-pass, O~(m^{1-2/k})-space algorithm for estimating the k-th frequency moment of a data stream for any real k>2. Together with known lower bounds, this resolves the main problem left open by Alon, Matias, ...
Combining Object and Feature Dynamics in Probabilistic Tracking
(2005-03-02)
Objects can exhibit different dynamics at different scales, a property that isoftenexploited by visual tracking algorithms. A local dynamicmodel is typically used to extract image features that are then used as inputsto a ...
Receptive field structures for recognition
(2005-03-01)
Localized operators, like Gabor wavelets and difference-of-Gaussian filters, are considered to be useful tools for image representation. This is due to their ability to form a  sparse code that can serve as a basis set ...
An Expectation Maximization Approach for Integrated Registration, Segmentation, and Intensity Correction
(2005-04-01)
This paper presents a statistical framework which combines the registration of an atlas with the segmentation of MR images. We use an Expectation Maximization-based algorithm to find a solution within the model, which ...
Combining Variable Selection with Dimensionality Reduction
(2005-03-30)
This paper bridges the gap between variable selection methods (e.g., Pearson coefficients, KS test) and dimensionality reductionalgorithms (e.g., PCA, LDA). Variable selection algorithms encounter difficulties dealing with ...
Towards the Prevention of Dyslexia
(2005-10-18)
Previous studies have shown that dyslexic individuals who supplement windowed reading practice with intensive small-scale hand-eye coordination tasks exhibit marked improvement in their reading skills. Here we examine ...
Learning to Trade with Insider Information
(2005-10-07)
This paper introduces algorithms for learning how to trade usinginsider (superior) information in Kyle's model of financial markets.Prior results in finance theory relied on the insider having perfectknowledge of the ...
Asymptotics of Gaussian Regularized Least-Squares
(2005-10-20)
We consider regularized least-squares (RLS) with a Gaussian kernel. Weprove that if we let the Gaussian bandwidth $\sigma \rightarrow\infty$ while letting the regularization parameter $\lambda\rightarrow 0$, the RLS solution ...
Teaching an Old Robot New Tricks: Learning Novel Tasks via Interaction with People and Things
(2003-06-20)
As AI has begun to reach out beyond its symbolic, objectivist roots into the embodied, experientialist realm, many projects are exploring different aspects of creating machines which interact with and respond to the world ...
Stereo-Based Head Pose Tracking Using Iterative Closest Point and Normal Flow Constraint
(2003-05-01)
In this text, we present two stereo-based head tracking techniques along with a fast 3D model acquisition system. The first tracking technique is a robust implementation of stereo-based head tracking designed for ...