We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
We present an object class detection approach which fully integrates the complementary strengths offered by shape matchers. Like an object detector, it can learn class models dire...
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Abstract. For object-oriented programming, the Visitor pattern enables the definition of a new operation on an object structure without changing the classes of the objects. The pri...
Efforts are underway to make it possible for a single operator to effectively control multiple robots. In these high workload situations, many questions arise including how many r...