Measuring system performance seems conceptually straightforward. However, the interpretation of the results and predicting future performance remain as exceptional challenges in s...
Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent ...
We present a new approach for the incorporation of shape information into a segmentation algorithm. Unlike previous approaches to the problem, our method requires no initializatio...
We present a new approach to multiple instance learning (MIL) that is particularly effective when the positive bags are sparse (i.e. contain few positive instances). Unlike other ...
In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...