In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
In this paper, we present a scheme for embedding data in copies (color or monochrome) of predominantly text pages that may also contain color images or graphics. Embedding data im...
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Embedded computing systems are space and cost sensitive; memory is one of the most restricted resources, posing serious constraints on program size. Code compression, which is a s...