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Do we recognize common objects by parts, or as wholes? Holistic recognition would be efficient, yet people detect a grating of light and dark stripes by parts. Thus efficiency falls as the number of stripes increases, in inverse proportion, as explained by probability summation among independent feature detectors. It is inefficient to detect correlated(More)
The uptake of a sugar across the boundary membrane is a primary event in the nutrition of most cells, but the hydrophobic nature of the transport proteins involved makes them difficult to characterize. Their amino-acid sequences can, however, be determined by cloning and sequencing the corresponding gene (or complementary DNA). We have determined the(More)
There is an ever-growing pressure to accelerate computer vision applications on embedded processors for wide-ranging equipment including mobile phones, network cameras, and automotive safety systems. Towards this goal, we propose a software library approach that eases common computational bottlenecks by optimizing over 60 low-and mid-level vision kernels.(More)
Data taken during the final shallow-site run of the first tower of the Cryogenic Dark Matter Search (CDMS II) detectors have been reanalyzed with improved sensitivity to small energy depositions. Four ∼224 g germanium and two ∼105 g silicon detectors were operated at the Stanford Underground Facility (SUF) between December 2001 and June 2002, yielding 118(More)
This paper presents the use of a knowledge based system and a knowledge sharing environment to support the design of micromechanisms. Based on the experience of a design project, we discuss knowledge representation concerning the function and behavior for supporting functional decomposition. For the knowledge sharing environment, we have extended a finite(More)
Dynamically reconfigurable SIMD/MIMD architectures made from simple cores have emerged to exploit diverse forms of parallelism in applications [1,2]. In this work, we investigate the circuit-level overhead and flexibility tradeoffs of such architectures through the design of a custom reconfigurable SIMD/MIMD system.
Microwave Kinetic Inductance Detectors (MKIDs) are thin-film, superconducting resonators, which are attractive for making large detector arrays due to their natural frequency domain multiplexing at GHz frequencies. For X-ray to IR wavelengths, MKIDs can provide high-resolution energy and timing information for each incoming photon. By fabricating strip(More)