We present an algorithm that extracts the largest shape within a specificclass, starting from a set of image edgels. The algorithm inherits the Best-First Segmentation approach [jp...
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
d Abstract] Mikolaj Boja?nczyk Faculty of Mathematics, Informatics and Mechanics Warsaw University Poland Claire David LIAFA Universit?e Paris 7 France Anca Muscholl LIAFA Universi...
Mikolaj Bojanczyk, Claire David, Anca Muscholl, Th...
Abstract. We investigate the computational complexity of a new combinatorial problem of inferring a smallest possible multi-labeled phylogenetic tree (MUL tree) which is consistent...