this paper describes a part of current research work on an automated cell tracking (ACT) project withthe aim of tracking the movement of representative cells in order to determine the activity of the cell once certai...
详细信息
Image indexing is the process of image retrieval from databases of images or videos based on their contents. Specifically histogram-based algorithms are considered to be effective for color image indexing. We suggest ...
详细信息
Existing social or content-based approaches to filtering-by-example are difficult to apply to image data. To realize a filtering-by-example system for image data, we propose a new approach to combine social and conten...
详细信息
this paper derives the Vapnik Chervonenkis dimension of several natural subclasses of pattern languages. For classes with unbounded VC-dimension, an attempt is made to quantify the "rate of growth" of VC-dim...
详细信息
ISBN:
(纸本)3540667482
this paper derives the Vapnik Chervonenkis dimension of several natural subclasses of pattern languages. For classes with unbounded VC-dimension, an attempt is made to quantify the "rate of growth" of VC-dimension for these classes. this is achieved by computing, for each n, size of the "smallest" witness set of n elements that is shattered by the class. the paper considers both erasing (empty substitutions allowed) and nonerasing (empty substitutions not allowed) pattern languages. For erasing pattern languages, optimal bounds for this size - within polynomial order - are derived for the case of 1 variable occurrence and unary alphabet, for the case where the number of variable occurrences is bounded by a constant, and the general case of all pattern languages. the extent to which these results hold for nonerasing pattern languages is also investigated. Some results that shed light on efficient learning of subclasses of pattern languages are also given.
this paper presents the research carried out in producing a whole recognizor for cursive handwritten words in facsimile images. Two sets of handwritten data samples are collected and converted into facsimile images. T...
详细信息
作者:
M. PittoreC. BassoA. VerriINFM-DISI
Università di Genova Italy INFM-DIFI
Università di Genova Italy INFM-DISI
Massachusetts Institute of Technology (US) Center for Biological and Computation Learning Università di Genova Italy
Support vector machines (SVM) have been recently introduced as techniques for solving patternrecognition and regression estimation problems. SVM are derived within the framework of statistical learning theory and com...
详细信息
Support vector machines (SVM) have been recently introduced as techniques for solving patternrecognition and regression estimation problems. SVM are derived within the framework of statistical learning theory and combine a solid theoretical foundation with very good performances in several applications. In this paper we describe a system able to detect, represent, and recognize visual dynamic events from an image sequence. While the events are initially detected by means of low-level visual processing, boththe representation and recognition stages are performed with SVM. therefore, the system is trained, instead of programmed, to perform the required tasks. the very good results obtained on real image sequences indicate that SVM can be profitably used for the construction of flexible and effective systems based on computer vision.
the proceedings contain 44 papers. the special focus in this conference is on Data Structure, Parallel and Distributed computing. the topics include: the engineering of some bipartite matching programs;a basic theory ...
ISBN:
(纸本)3540669167
the proceedings contain 44 papers. the special focus in this conference is on Data Structure, Parallel and Distributed computing. the topics include: the engineering of some bipartite matching programs;a basic theory and calculus;static dictionaries supporting rank;multiple spin-block decisions;asynchronous random polling dynamic load balancing;hardness of approximating independent domination in circle graphs;constant-factor approximation algorithms for domination problems on circle graphs;ordered binary decision diagrams as knowledge-bases;the role of common knowledge in pattern formation by autonomous mobile robots;on-line load balancing of temporary tasks revisited;online routing in triangulations;the query complexity of program checking by constant-depth circuits;tree-like resolution is superpolynomially slower than dag-like resolution for the pigeonhole principle;efficient approximation algorithms for multi-label map labeling;approximation algorithms in batch processing;parallel algorithms for shortest paths and related problems on trapezoid graphs;approximation algorithms for some clustering and classification problems;how many people can hide in a terrain?;an online relocation problem on graphs;survivable networks with bounded delay;energy-efficient initialization protocols for ad-hoc radio networks;constructing the suffix tree of a tree with a large alphabet;further improved;a linear time algorithm for recognizing regular boolean functions;station layouts in the presence of location constraints;reverse center location problem;performance comparison of linear sieve and cubic sieve algorithms for discrete logarithms over prime fields and a new approximation algorithm for the capacitated vehicle routing problem on a tree.
Anisotropic diffusion is an image enhancement method. It is a nonlinear process which removes noise and irrelevant details while preserving the edges, i.e. it "extracts" the essential visual information. the...
详细信息
this paper discusses software reusability strategies for performance and reliability modeling tools. Special emphasis is on web-embedded tools, and the potential interaction between such tools. We present the system a...
详细信息
We present an analysis of the computational features of neural networks and fuzzy logic architectures which attempts to explain their recent popularity as well as their drawbacks. Based upon many reports in several fi...
详细信息
We present an analysis of the computational features of neural networks and fuzzy logic architectures which attempts to explain their recent popularity as well as their drawbacks. Based upon many reports in several fields, we identify the key computational requirements in the clinical laboratory setting, and review several classical tools. In particular we make the observation that all of these needs may be viewed as a search for an appropriate mathematical mapping. We suggest that the neural networks promise as a universal function approximant is the main source of its apparent attractivity. We then describe a customized neural network architecture as a non-linear, adaptive signal processor for integrated monitoring. this architecture is employed in the Adaptive Real-Time Anesthesiologist Associate (ARTAA) system, which has been developed as a joint project at the Department of Anesthesiology, Albert Einstein Medical Center and the Electrical and Computer Engineering Department, Drexel University in Philadelphia, USA. In this application the neural network realizes a non-linear scalar map from the set of physiological signals to a vital function status (VFS) indicator. the system is now under clinical testing.
暂无评论