A handwriting pattern is considered as a sequence of ballistic strokes. Replications of a pattern may be generated from a single, higher-level memory representation, acting as a motor program. Therefore, those stroke features which show the most invariant pattern are probably related to the parameters of the higher-level representation, whereas the more noisy features are probably related to th...

Program synthesis is the transformation of a specification of a user's problem into a computer program. A problem reduction approach to program synthesis is presented. During synthesis the user's problem is decom­ posed in a top-down manner into a hierarchy of subprob­ lems. with directly solveable subproblems at the bottom. Solving these subproblems results in the bottom-up com­ position of a ...

Multi-document summarization (MDS) systems have been designed for short, unstructured summaries of 10-15 documents, and are inadequate for larger document collections. We propose a new approach to scaling up summarization called hierarchical summarization, and present the first implemented system, SUMMA. SUMMA produces a hierarchy of relatively short summaries, in which the top level provides a...

What I cannot create do not understand — Richard Feynman 1978 Because primate cortical development exhibits numerous specific features, the mouse is an imperfect model for human development. Expansion of supragranular neurons evolutionary feature characterizing cortex. Increased production supported by a germinal zone innovation cortex: Outer SubVentricular Zone, which along with constitute pri...

Using elementary cellular automata as an example, a novel, information-based classification of complex systems is proposed that circumvents the problems associated with isolating the complexity generated as a product of an initial state from that which is intrinsic to a dynamical rule. Transfer entropy variations processed by the system for different initial states split the 256 elementary rule...

Bayesian networks for large and complex domains are difficult to construct and maintain. For example modifying a small network fragment in a repetitive structure might be very time consuming. Top-down modelling may simplify the construction of large Bayesian networks, but methods (partly) supporting top-down modelling have only recently been introduced and tools do not exist. In this paper, we ...

Bayesian networks are not easy to design and maintain. It is a time consuming process to update a Bayesian network even though only a small set of nodes with many occurrences has to be changed. In this paper, we describe a solution to these diiculties by taking an object oriented approach to constructing Bayesian networks by merging fragments of Bayesian networks. Our approach consists of a new...

We propose a novel algorithm for construction of bounding volume hierarchies (BVHs) for multi-core CPU architectures. The algorithm constructs the BVH by a divisive top-down approach using a progressively refined cut of an existing auxiliary BVH. We propose a new strategy for refining the cut that significantly reduces the workload of individual steps of BVH construction. Additionally, we propo...

We present a new, fast approach for updating oriented bounding box hierarchies for articulated humanoid models, using a bottom up approach. The algorithm approximates existing techniques by assuming a major body axis. Existence of a major axis allows merging of bounding boxes in a hierarchy approximately but with sufficient accuracy. For scenarios with close proximity a speedup by a factor 2 on...

The aim of this study is to identify and prioritize the solutions of Knowledge Management (KM) adoption in Supply Chain (SC) to overcome its barriers. It helps organizations to concentrate on high rank solutions and develop strategies to implement them on priority. This paper proposes a framework based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by simi...