This paper develops a new framework for combining propositional logics, called “juxtaposition”. Several general metalogical theorems are proved concerning the combination of logics by juxtaposition. In particular, it is shown that under reasonable conditions, juxtaposition preserves strong soundness. Under reasonable conditions, the juxtaposition of two consequence relations is a conservative e...

Kernel classifiers based on the hand-crafted image descriptors proposed in the literature have achieved state-of-the-art results in several dataset and been widely used in image classification systems. Due to the high intra-class and inter-class variety of image categories, no single descriptor could be optimal in all situations. Combining multiple descriptors for a given task is a way to impro...

By Bruce Weinberg The Undergraduate Selective Service Office will be closed at the end of this school year, it was learned from sources at the Institute Wednesday. Starting .in June the office will be-combined with the Graduate Selective Service Office under Sanborn Brown, Associate Dean of the Graduate School. Miss Joanne Robinson, currently the Graduate Selective Service Advisor, will take ov...

This paper introduces a randomized method for combining diierent object models. By determining a connguration of the models, which maximizes their mutual information, the proposed method creates a uniied hypothesis from multiple object models on the y, without prior training. To validate the eeectiveness of the proposed method, experiments are conducted in which human faces are detected and loc...

We have compared the accuracy of the individual protein secondary structure prediction methods: PHD, DSC, NNSSP and Predator against the accuracy obtained by combing the predictions of the methods. A range of ways of combing predictions were tested: voting, biased voting, linear discrimination, neural networks and decision trees. The combined methods that involve 'learning' (the non-voting meth...

Quantum probability (QP) theory provides an alternative account of empirical phenomena in decision making that classical probability (CP) theory cannot explain. Cognitive architectures combine probabilistic mechanisms with symbolic knowledge-based representations (e.g., heuristics) to address effects that motivate QP. They provide simple and natural explanations of these phenomena based on gene...

We perceive objects as containing a variety of attributes: local features, relations between features, internal details, and global properties. But we know little about how they combine. Here, we report a remarkably simple additive rule that governs how these diverse object attributes combine in vision. The perceived dissimilarity between two objects was accurately explained as a sum of (a) spa...

Gesture and Speech based human Computer interaction is attractive attention across various areas such as pattern recognition, computer vision. Thus kind of research areas find many kind of application in Multimodal HCI, Robotics control, Sign language recognition. This paper presents head and hand Gesture as well as Speech recognition system for human computer interaction (HCI).This kind of vis...

Information on the rankings and information on the approval of candidates in an election, though related, are fundamentally different—one cannot be derived from the other. Both kinds of information are important in the determination of social choices. We propose a way of combining them in two hybrid voting systems, preference approval voting (PAV) and fallback voting (FV), that satisfy several ...