Two important problems in motion analysis are addressed in this paper: change detection and moving object location. For the rst problem, the inter-frame di erence is modelized by a mixture of Laplacian distributions, a Gibbs random eld is used for describing the label eld, and ICM (Iterated Conditional Modes) or HCF (Highest Con dence First) algorithms are used for solving the resulting optimiz...

In this paper we introduce a method to learn multiple behaviors in the form of motor primitives from an unlabeled dataset. One of the difficulties of this problem is that in the measurement space, behaviors can be very mixed, despite existing a latent representation where they can be easily separated. We propose a mixture model based on a Dirichlet Process (DP) to simultaneously cluster the obs...

There are very few techniques that can separate signals from the convolutive mixture in the underdetermined case. We have developed a method that uses overcomplete expansion of the signal created with a time-frequency transform and that also uses the property of sparseness and a Laplacian source density model to obtain the source signals from the instantaneously mixed signals in the underderdet...

This paper presents a new learning algorithm for audiovisual fusion and demonstrates its application to video classification for film database. The proposed system utilized perceptual features for content characterization of movie clips. These features are extracted from different modalities and fused through a machine learning process. More specifically, in order to capture the spatio-temporal...

We propose a non-linear Canonical Correlation Analysis (CCA) method which works by coordinating or aligning mixtures of linear models. In the same way that CCA extends the idea of PCA, our work extends recent methods for non-linear dimensionality reduction to the case where multiple embeddings of the same underlying low dimensional coordinates are observed, each lying on a different high dimens...

      In this work, thermal degradation behavior of a fuel-rich energetic mixture containing epoxy binder was studied by thrmogravimetric analysis and differential scanning calorimetry under dynamic nitrogen atmosphere at different heating rates. Variation of the thermal degradation activation energy of the mixture was evaluated by differential and integral isoconversional methods via ...

We have obtained shock compression data for Murchison and Bruderheim chondritic meteorites. Data for Murchison suggest that the Hugoniot states are described by a smooth curve to >_90 GPa. having po = 2.656 Mg/m 3 . Kso = 24.2±.7 GPa, K'= 4.17±. 10, and constant y = 1.0. The data for Bruderheim suggest more complicated behavior. A mineral mixture model consistent with the Bruderheim data sugges...

Prior to publication, please maintain the enclosed paper in confidence and use it only for purposes of evaluating the merit of the proposed paper, and other activities reasonably related to the review process, and please do not make it available, in whole or in part, to the public. The authors thanks IEEE Transactions in Speech and Audio Processing for their courtesy and professionalism in this...

An overview is provided of recent developments in the use of latent class (LC) and other types of %nite mixture models for classi%cation purposes. Several extensions of existing models are presented. Two basic types of LC models for classi%cation are de%ned: supervised and unsupervised structures. Their most important special cases are presented and illustrated with an empirical example. c © 20...

Humans have the fascinating capacity to understand, and anticipate the actions of other humans in the same space, without requiring verbal communication. This ”intention reading” capacity is underpinned by a common motor-repertoire that is shared by all humans, and afforded by a subtle coordination of eye-head-arm movements that encodes the cues and signals that will ultimately be deciphered by...