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141.
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Shai Ben-David 《Machine Learning》2007,66(2-3):243-257
We consider a framework of sample-based clustering. In this setting, the input to a clustering algorithm is a sample generated i.i.d by some unknown arbitrary distribution.
Based on such a sample, the algorithm has to output a clustering of the full domain set, that is evaluated with respect to
the underlying distribution. We provide general conditions on clustering problems that imply the existence of sampling based
clustering algorithms that approximate the optimal clustering. We show that the K-median clustering, as well as K-means and the Vector Quantization problems, satisfy these conditions. Our results apply to the combinatorial optimization
setting where, assuming that sampling uniformly over an input set can be done in constant time, we get a sampling-based algorithm
for the K-median and K-means clustering problems that finds an almost optimal set of centers in time depending only on the confidence and accuracy
parameters of the approximation, but independent of the input size. Furthermore, in the Euclidean input case, the dependence
of the running time of our algorithm on the Euclidean dimension is only linear. Our main technical tool is a uniform convergence
result for center based clustering that can be viewed as showing that the effective VC-dimension of k-center clustering equals k.
Editor: Olivier Bousquet and Andre Elisseeff
A preliminary version of this work appeared in the proceedings of COLT’04 (Ben-David, 2004).
This work is supported in part by the Multidisciplinary University Research Initiative (MURI) under the Office of Naval Research
Contract N00014-00-1-0564. 相似文献
143.
Mashitoa Florence M. Manhivi Vimbainashe Slabbert Retha M. Shai Jerry L. Sivakumar Dharini 《Food science and biotechnology》2021,30(6):793-800
Food Science and Biotechnology - Pumpkin leaves (Cucurbita moschata) were subjected to different household cooking methods (boiling, microwaving, steaming, and stir-frying) to evaluate their effect... 相似文献
144.
Linoy Mehazri Sally Shpungin Shai Bel Uri Nir 《International journal of molecular sciences》2021,22(7)
Metabolic plasticity is a hallmark of the ability of metastatic cancer cells to survive under stressful conditions. The intracellular Fer kinase is a selective constituent of the reprogramed mitochondria and metabolic system of cancer cells. In the current work, we deciphered the modulatory roles of Fer in the reprogrammed metabolic systems of metastatic, lung (H358), non-small cell lung cancer (NSCLC), and breast (MDA-MB-231), triple-negative breast cancer (TNBC), carcinoma cells. We show that H358 cells devoid of Fer (H358ΔFer), strictly depend on glucose for their proliferation and growth, and fail to compensate for glucose withdrawal by oxidizing and metabolizing glutamine. Furthermore, glucose deficiency caused increased reactive oxygen species (ROS) production and induction of a DNA damage response (DDR), accompanied by the onset of apoptosis and attenuated cell-cycle progression. Analysis of mitochondrial function revealed impaired respiratory and electron transport chain (ETC) complex 1 (comp. I) activity in the Fer-deficient H358ΔFer cells. This was manifested by decreased levels of NAD+ and ATP and relatively low abundance of tricarboxylic acid (TCA) cycle metabolites. Impaired electron transport chain comp. I activity and dependence on glucose were also confirmed in Fer-deficient, MDA-MB-231ΔFer cells. Although both H358ΔFer and MDA-MB-231ΔFer cells showed a decreased aspartate level, this seemed to be compensated by the predominance of pyrimidines synthesis over the urea cycle progression. Notably, absence of Fer significantly impeded the growth of H358ΔFer and MDA-MB-231ΔFer xenografts in mice provided with a carb-deficient, ketogenic diet. Thus, Fer plays a key role in the sustention of metabolic plasticity of malignant cells. In compliance with this notion, targeting Fer attenuates the progression of H358 and MDA-MB-231 tumors, an effect that is potentiated by a glucose-restrictive diet. 相似文献
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146.
Journal of Mathematical Imaging and Vision - Our aim is to explain and characterize the behavior of adaptive total variation (TV) regularization. TV has been widely used as an edge-preserving... 相似文献
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Surface features of tungsten carbide composites processed by bound abrasive deterministic microgrinding and magnetorheological finishing (MRF) were studied for five WC–Ni composites, including one binderless material. All the materials studied were nonmagnetic with different microstructures and mechanical properties. White-light interferometry, scanning electron microscopy, and atomic force microscopy were used to characterize the surfaces after various grinding steps, surface etching, and MRF spot-taking. It was found that the peak-to-valley (p–v) microroughness of the surface after microgrinding with rough or medium abrasive size tools gives a measure of the deformed layer depth. MRF spots revealed the true depth of the grinding-induced deformed surface layer. 相似文献
150.