Results 1 - 10 of 2,646

Mean shift: A robust approach toward feature space analysis

by Dorin Comaniciu, Peter Meer - In PAMI , 2002
"... A general nonparametric technique is proposed for the analysis of a complex multimodal feature space and to delineate arbitrarily shaped clusters in it. The basic computational module of the technique is an old pattern recognition procedure, the mean shift. We prove for discrete data the convergence ..."
Abstract - Cited by 2395 (37 self) - Add to MetaCart
-estimators of location is also established. Algorithms for two low-level vision tasks, discontinuity preserving smoothing and image segmentation are described as applications. In these algorithms the only user set parameter is the resolution of the analysis, and either gray level or color images are accepted as input

Improving Morphology Induction by Learning Spelling Rules

by Jason Naradowsky
"... Unsupervised learning of morphology is an important task for human learners and in natural language processing systems. Previous systems focus on segmenting words into substrings (taking ⇒ tak.ing), but sometimes a segmentation-only analysis is insufficient (e.g., taking may be more appropriately an ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
Unsupervised learning of morphology is an important task for human learners and in natural language processing systems. Previous systems focus on segmenting words into substrings (taking ⇒ tak.ing), but sometimes a segmentation-only analysis is insufficient (e.g., taking may be more appropriately

Dynamics of mitochondrial DNA evolution in animals: amplification and sequencing with conserved primers.

by T D Kocher , W K Thomas , A Meyer , S V Edwards , S Paabo , F X Villablancatt , A C Wilson - Proc. Natl. Acad. Sci. USA , 1989
"... ABSTRACT With a standard set of primers directed toward conserved regions, we have used the polymerase chain reaction to amplify homologous segments of mtDNA from more than 100 animal species, including mammals, birds, amphibians, fishes, and some invertebrates. Amplification and direct sequencing ..."
Abstract - Cited by 310 (3 self) - Add to MetaCart
to transversions came only from conventional cloning and sequencing (1, 3). Because most studies of animal mtDNA have used restriction analysis, it has been difficult to determine whether a high rate of evolution and a transition bias are characteristic of all animal mtDNAs (8-10). There has been a need for simple

Membrane protein structure prediction. Hydrophobicity analysis and the positive-inside rule

by Gunnar Von Heijne - J. Mol. Biol , 1992
"... A new strategy for predicting the topology of bacterial inner membrane proteins is proposed on the basis of hydrophobicity analysis, automatic generation of a set of possible topologies and ranking of these according to the positive-inside rule. A straightforward implementation with no attempts at o ..."
Abstract - Cited by 275 (4 self) - Add to MetaCart
at optimization predict’s the correct topology for 23 out of 24 inner membrane proteins with experimentally determined topologies, and cborrectly identifies 135 transmembrane segments with only one overprediction.

Optimal Unsupervised Learning in a Single-Layer Linear Feedforward Neural Network

by Terence D. Sanger , 1989
"... A new approach to unsupervised learning in a single-layer linear feedforward neural network is discussed. An optimality principle is proposed which is based upon preserving maximal information in the output units. An algorithm for unsupervised learning based upon a Hebbian learning rule, which achie ..."
Abstract - Cited by 293 (2 self) - Add to MetaCart
achieves the desired optimality is presented, The algorithm finds the eigenvectors of the input correlation matrix, and it is proven to converge with probability one. An implementation which can train neural networks using only local "synaptic" modification rules is described. It is shown

Discovering objects and their location in images

by Josef Sivic, Bryan C. Russell, Alexei A. Efros, Andrew Zisserman, William T. Freeman - In ICCV , 2005
"... We seek to discover the object categories depicted in a set of unlabelled images. We achieve this using a model developed in the statistical text literature: probabilistic Latent Semantic Analysis (pLSA). In text analysis this is used to discover topics in a corpus using the bag-of-words document re ..."
Abstract - Cited by 272 (9 self) - Add to MetaCart
containing only one object per image. We also extend the bag-of-words vocabulary to include ‘doublets ’ which encode spatially local co-occurring regions. It is demonstrated that this extended vocabulary gives a cleaner image segmentation. Finally, the classification and segmentation methods are applied to a

Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation

by Simon K. Warfield, Kelly H. Zou, William M. Wells - IEEE TRANS. MED. IMAG , 2004
"... Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited accuracy and precision. Interactive drawing of the desired segmentation by human raters has often been the only acceptab ..."
Abstract - Cited by 250 (21 self) - Add to MetaCart
Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited accuracy and precision. Interactive drawing of the desired segmentation by human raters has often been the only

Robust Analysis of Feature Spaces: Color Image Segmentation

by Dorin Comaniciu , Peter Meer , 1997
"... A general technique for the recovery of significant image features is presented. The technique is basedon the mean shift algorithm, a simple nonparametric procedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Featurespace of any natu ..."
Abstract - Cited by 226 (6 self) - Add to MetaCart
naturecan beprocessed, and as an example, color image segmentation is discussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or provide, by extracting all the significant colors, a preprocessor for content

Automatic Soccer Video Analysis and Summarization

by Ahmet Ekin, A. Murat Tekalp - IEEE Trans. on Image Processing , 2003
"... We propose a fully automatic and computationally efficient framework for analysis and summarization of soccer videos using cinematic and object-based features. The proposed framework includes some novel low-level soccer video processing algorithms, such as dominant color region detection, robust sho ..."
Abstract - Cited by 222 (5 self) - Add to MetaCart
We propose a fully automatic and computationally efficient framework for analysis and summarization of soccer videos using cinematic and object-based features. The proposed framework includes some novel low-level soccer video processing algorithms, such as dominant color region detection, robust

Mean Shift Analysis and Applications

by Dorin Comaniciu, Peter Meer , 1999
"... A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving filtering and image segmentation. Properties of the mean shift are reviewed and its convergence on lattices is proven. The ..."
Abstract - Cited by 200 (9 self) - Add to MetaCart
. The proposed filtering method associates with each pixel in the image the closest local mode in the density distribution of the joint domain. Segmentation into a piecewise constant structure requires only one more step, fusion of the regions associated with nearby modes. The proposed technique has two
Results 1 - 10 of 2,646