The use of a wrist-worn sensor that is able to read nearby RFID tags and the wearer's gestures has been suggested frequently as a way to both detect the objects we interact w...
Eugen Berlin, Jun Liu, Kristof Van Laerhoven, Bern...
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
We consider the problem of characterization of spatial region data such as the regions of interest (ROIs) in medical images. We propose a method that efficiently extracts a k-dime...
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
Algorithms are developed for calculating dealiased linear convolution sums without the expense of conventional zero-padding or phase-shift techniques. For one-dimensional in-place ...