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2,464
On Spectral Clustering: Analysis and an algorithm
- ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS
, 2001
"... Despite many empirical successes of spectral clustering methods -- algorithms that cluster points using eigenvectors of matrices derived from the distances between the points -- there are several unresolved issues. First, there is a wide variety of algorithms that use the eigenvectors in slightly ..."
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Cited by 1713 (13 self)
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the algorithm, and give conditions under which it can be expected to do well. We also show surprisingly good experimental results on a number of challenging clustering problems.
Local features and kernels for classification of texture and object categories: a comprehensive study
- International Journal of Computer Vision
, 2007
"... Recently, methods based on local image features have shown promise for texture and object recognition tasks. This paper presents a large-scale evaluation of an approach that represents images as distributions (signatures or histograms) of features extracted from a sparse set of keypoint locations an ..."
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Cited by 653 (34 self)
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the influence of background correlations on recognition performance via extensive tests on the PASCAL database, for which ground-truth object localization information is available. Our experiments demonstrate that image representations based on distributions of local features are surprisingly effective
Loopy belief propagation for approximate inference: An empirical study. In:
- Proceedings of Uncertainty in AI,
, 1999
"... Abstract Recently, researchers have demonstrated that "loopy belief propagation" -the use of Pearl's polytree algorithm in a Bayesian network with loops -can perform well in the context of error-correcting codes. The most dramatic instance of this is the near Shannon-limit performanc ..."
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Cited by 676 (15 self)
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causes convergence versus oscill ation? What our initial experiments show is that loopy prop agation does a good job of approximating the correct posteriors if it converges. Unfortunately, on the most challenging case-the QMR-DT network-the al gorithm did not converge. We wanted to see
Technological pedagogical content knowledge: A framework for integrating technology in teacher knowledge.
- Teachers College Record,
, 2006
"... Abstract This paper describes a framework for teacher knowledge for technology integration called technological pedagogical content knowledge (originally TPCK, now known as TPACK, or technology, pedagogy, and content knowledge). This framework builds on Lee Shulman's construct of pedagogical c ..."
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Cited by 420 (19 self)
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of development than it is today. It is, thus, not surprising that they do not consider themselves sufficiently prepared to use technology in the classroom and often do not appreciate its value or relevance to teaching and learning. Acquiring a new knowledge base and skill set can be challenging, particularly
Active learning: Creating excitement in the classroom
, 1991
"... "College teaching and lecturing have been so long associated that when one pictures a college professor in a classroom, he almost inevitably pictures him as lecturing. " Few would argue with the statement that the vast majority of today's professoriate were primarily lectured to as bo ..."
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Cited by 275 (0 self)
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to as both undergraduates and as graduate school students. It is not surprising, therefore, that lecturing continues to be our most prevalent mode of instruction. A host of national reports in the 1980’s, however, challenged college and university faculty to develop instructional approaches that transform
Alias Annotations for Program Understanding
- In Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA
, 2002
"... One of the primary challenges in building and evolving large object-oriented systems is dealing with aliasing between objects. Unexpected aliasing can lead to broken invariants, mistaken assumptions, security holes, and surprising side effects, all of which may lead to software defects and complicat ..."
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Cited by 201 (12 self)
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One of the primary challenges in building and evolving large object-oriented systems is dealing with aliasing between objects. Unexpected aliasing can lead to broken invariants, mistaken assumptions, security holes, and surprising side effects, all of which may lead to software defects
‘Surprise’: Outbreak of Campylobacter
, 2012
"... the challenges of response in a remote geo-topographical setting 3 ..."
Design challenges and misconceptions in named entity recognition
- PROCEEDINGS OF THE THIRTEENTH CONFERENCE ON COMPUTATIONAL NATURAL LANGUAGE LEARNING (CONLL)
, 2009
"... We analyze some of the fundamental design challenges and misconceptions that underlie the development of an efficient and robust NER system. In particular, we address issues such as the representation of text chunks, the inference approach needed to combine local NER decisions, the sources of prior ..."
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Cited by 142 (8 self)
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knowledge and how to use them within an NER system. In the process of comparing several solutions to these challenges we reach some surprising conclusions, as well as develop an NER system that achieves 90.8 F1 score on the CoNLL-2003 NER shared task, the best reported result for this dataset.
Generalized linear mixed models: a practical guide for ecology and evolution.
- Trends in Ecology and Evolution,
, 2009
"... How should ecologists and evolutionary biologists analyze nonnormal data that involve random effects? Nonnormal data such as counts or proportions often defy classical statistical procedures. Generalized linear mixed models (GLMMs) provide a more flexible approach for analyzing nonnormal data when ..."
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Cited by 183 (1 self)
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data) and specify that the total number of fruits per plant and the responses to fertilization and clipping could vary randomly across populations and across genotypes within a population. However, GLMMs are surprisingly challenging to use even for statisticians. Although several software packages can
Social Development in Bangladesh: Pathways, Surprises and Challenges
"... Bangladesh in recent times has achieved rapid progress in many social development indicators despite still widespread poverty and the poor quality of public service delivery. Underlying this ‘development surprise’, the article argues, there is a remarkable process of social transformation involving ..."
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Cited by 2 (1 self)
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Bangladesh in recent times has achieved rapid progress in many social development indicators despite still widespread poverty and the poor quality of public service delivery. Underlying this ‘development surprise’, the article argues, there is a remarkable process of social transformation involving
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