We describe a method for automatically recognizing animals in image sequences based on their distinctive locomotive movement patterns. The 2-D motion field associated with the animal is represented using a ‘configuration of motion parts’ model, the characteristics of which are learned from training data. We adopt an unsupervised approach to learning model parameters, based on minimal a priori k...

A recent study has shown that, using transcranial magnetic stimulation to stimulate an area of the visual cortex, the perception of face parts can be selectively and reversibly disrupted, while the perception of their arrangement is spared.

Ju ly 20 0 8 So natural is our capacity for rhythm that most of us take it for granted: when we hear music, we tap our feet to the beat or rock and sway, often unaware that we are even moving. But this instinct is, for all intents and purposes, an evolutionary novelty among humans. Nothing comparable occurs in other mammals nor probably elsewhere in the animal kingdom. Our talent for unconsciou...

Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however that mutually dependent local observations are independently voting for intrinsically global object properties such as object scale. All the votes are added up to obtain object hypotheses. The assumption is thus that obj...

| Object classi cation needs to address not only the changes resulting from various viewpoints but also the di erent shapes that can be classi ed into the same category. We present a new framework and its implementation for generic object classi cation from raw range images, combining structural and functional concepts. The framework addresses low and mid level problems for the decomposition of...

Genetic engineering is entering a new era, where microorganisms can be programmed using synthetic constructs of DNA encoding logic and operational commands. A toolbox of modular genetic parts is being developed, comprised of cell-based environmental sensors and genetic circuits. Systems have already been designed to be interconnected with each other and interfaced with the control of cellular p...