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Noam Shental
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2010 – 2019
- 2013
- [c12]Or Zuk, Amnon Amir, Amit Zeisel, Ohad Shamir, Noam Shental:
Accurate Profiling of Microbial Communities from Massively Parallel Sequencing Using Convex Optimization. SPIRE 2013: 279-297 - [i4]Or Zuk, Amnon Amir, Amit Zeisel, Ohad Shamir, Noam Shental:
Accurate Profiling of Microbial Communities from Massively Parallel Sequencing using Convex Optimization. CoRR abs/1309.6919 (2013) - 2010
- [c11]Noam Shental, Amnon Amir, Or Zuk:
Compressed sensing-based pooling experiments using next generation sequencing. ITA 2010: 446-447
2000 – 2009
- 2009
- [c10]Yaniv Erlich, Noam Shental, Amnon Amir, Or Zuk:
Compressed sensing approach for high throughput carrier screen. Allerton 2009: 539-544 - [i3]Noam Shental, Amnon Amir, Or Zuk:
Rare-Allele Detection Using Compressed Se(que)nsing. CoRR abs/0909.0400 (2009) - 2008
- [j2]Ori Shental, Noam Shental, Shlomo Shamai
, Ido Kanter, Anthony J. Weiss, Yair Weiss:
Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statistical Mechanics. IEEE Trans. Inf. Theory 54(4): 1500-1513 (2008) - 2006
- [i2]Gad Getz, Noam Shental, Eytan Domany:
Semi-Supervised Learning -- A Statistical Physics Approach. CoRR abs/cs/0604011 (2006) - 2005
- [j1]Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall:
Learning a Mahalanobis Metric from Equivalence Constraints. J. Mach. Learn. Res. 6: 937-965 (2005) - [c9]Ori Shental, Noam Shental, Shlomo Shamai
On the achievable information rates of finite-state input two-dimensional channels with memory. ISIT 2005: 2354-2358 - [i1]Ori Shental, Noam Shental, Shlomo Shamai:
On the Achievable Information Rates of Finite-State Input Two-Dimensional Channels with Memory. CoRR abs/cs/0502077 (2005) - 2004
- [b1]Noam Shental:
From unsupervised to semi-supervised learning : algorithms and applications (מלמידה לא-מפוקחת ללמידה מפוקחת-למחצה.). Hebrew University of Jerusalem, Israel, 2004 - [c8]Ori Shental, Anthony J. Weiss, Noam Shental, Yair Weiss:
Generalized belief propagation receiver for near-optimal detection of two-dimensional channels with memory. ITW 2004: 225-229 - 2003
- [c7]Tomer Hertz, Noam Shental, Aharon Bar-Hillel, Daphna Weinshall:
Enhancing Image and Video Retrieval: Learning via Equivalence Constraint. CVPR (2) 2003: 668-674 - [c6]Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss:
Learning and Inferring Image Segmentations using the GBP Typical Cut Algorithm. ICCV 2003: 1243-1250 - [c5]Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall:
Learning Distance Functions using Equivalence Relations. ICML 2003: 11-18 - [c4]Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss:
Pairwise Clustering and Graphical Models. NIPS 2003: 185-192 - [c3]Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall:
Computing Gaussian Mixture Models with EM Using Equivalence Constraints. NIPS 2003: 465-472 - 2002
- [c2]Noam Shental, Tomer Hertz, Daphna Weinshall, Misha Pavel:
Adjustment Learning and Relevant Component Analysis. ECCV (4) 2002: 776-792 - 2000
- [c1]Yoram Gdalyahu, Noam Shental, Daphna Weinshall:
Perceptual Grouping and Segmentation by Stochastic Clustering. CVPR 2000: 1367-1374
Coauthor Index
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