outperform existing feature sets for human detection. We study the influence of each stage of the computation on performance, concluding that fine-scale gradients, fine orientation binning, relatively coarse spatial binning, and high-quality local contrast normalization in overlapping descriptor blocks

with less than 50 % overhead over a non-thread-safe baseline. We support long atomic blocks containing millions of shared memory accesses with a 2.5-4.5x slowdown. Categories and Subject Descriptors D.3.3 [Programming Languages]:

A study of whether the effects of block scheduling on student achievement and attitudes are more advantageous than traditional scheduling was made. The block scheduling treatment invclved three required courses on each of four grade levelsfreshmen through senior in high school. Interdisciplinary

as building blocks of an alternative structure for schools and suggests how those principles might be played out in restructuring schools. The study conducted an analysis of secondary sources that included a comprehensive search strategy and a thorough review of the sources which contained feminist thought

on federal strategies used prior to 1981 to deliver services to target groups such as the disadvantaged or handicapped, federal strategies for educat4onal improvement, and what past experience with differenttypes df federal programs can teach about intervention effectiveness-Consolidated.and block grants

The building block theory of language structure, an information processing approach, is applied to the development of a model of the reading process. Specifically, the model is concerned with the amount of time an individual will spend reading and the amount of content h & will decode which

Abstract—In this paper, we explore methods for learning local image descriptors from training data. We describe a set of building blocks for constructing descriptors which can be combined together and jointly optimized so as to minimize the error of a nearest-neighbor classifier. We consider both

not leverage coarse v.s. fine methods such as image pyramids. In this work, we propose the sparse appearance descriptors Block-based Pyramid Local Binary Pattern (B-PLBP) and Block-based Pyramid Local Phase Quantisation (B-PLPQ). The effectiveness of our proposed descriptors is evaluated by a real-time facial

We present a new framework for artificial life involving physically simulated, three-dimensional blocks called Division Blocks. Division Blocks can grow and shrink, divide and form joints, exert forces on joints, and exchange resources. They are controlled by recurrent neural networks that evolve

In order to apply gene-order rearrangement algorithms to the comparison of genome sequences, Pevzner and Tesler [9] bypass gene finding and ortholog identification, and use the order of homologous blocks of unannotated sequence as input. The method excludes blocks shorter than a thresh-old length