Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
We present a new, block-based image codec based on sparse representations using a learned, structured dictionary called the IterationTuned and Aligned Dictionary (ITAD). The quest...
It is important to integrate contextual information in order to improve the inaccurate results of current approaches for automatic image annotation. Graph based representations all...
Vassilios Stathopoulos, Jana Urban, Joemon M. Jose
Although many interactive segmentation methods exists, none can be considered a silver bullet for all clinical tasks. Moreover, incompatible data representations prevent multiple a...
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...