Local feature analysis: A general statistical theory for object representation

PS Penev, JJ Atick - Network: computation in neural systems, 1996 - Taylor & Francis
feature analysis (LFA), for deriving local topographic representations for any class of
objects… The procedure, which we call local feature analysis (LFA), derives a dense set of local …

A review of object representation based on local features

J Cao, D Mao, Q Cai, H Li, J Du - Journal of Zhejiang University SCIENCE …, 2013 - Springer
… of object representation methods based on local features and given a brief review of related
topics. We believe that this survey of object representation based on local features with an …

Object-oriented analysis and design of a manufacturing feature representation

A Chep, L Tricarico - International Journal of Production Research, 1999 - Taylor & Francis
… The Object-Oriented Analysis and Design method has facilitated the … features by objects
which can be directly used by the process planner. This concept of object representation makes …

Local feature analysis: a statistical theory for information representation and transmission

PS Penev - 1998 - search.proquest.com
… a new mathematical construction— Local Feature Analysis (LFA)—for deriving local
topographic representations for any class of objects. The LFA representations are sparse-distributed …

Feature analysis in early vision: evidence from search asymmetries.

A Treisman, S Gormican - Psychological review, 1988 - psycnet.apa.org
… A wide variety of behavioral tests have been developed in attempts to demonstrate the
existence of separable feature analysis. Psychophysicists have used threshold summation and …

Feature representation for statistical-learning-based object detection: A review

Y Li, S Wang, Q Tian, X Ding - Pattern Recognition, 2015 - Elsevier
… discriminant feature space. The motivation of this paper is to present a review on feature
representation in recent object detection methods. Visual features applied in object detection …

Slow feature analysis: Unsupervised learning of invariances

L Wiskott, TJ Sejnowski - Neural computation, 2002 - ieeexplore.ieee.org
… a representation that distinguishes among patterns, even though the only objective of slow
feature analysis is … Second, why do where- and what-information get represented in separate …

[PDF][PDF] Object representation and recognition

SJ Dickinson - What is cognitive science, 1999 - cse.unr.edu
… and evaluate theories of human object recognition. Conversely, to … of choosing an object
representation given the recognition … of matching recovered image features to object models, …

Visual object representation: An introduction

SP Vecera - Psychobiology, 1998 - Springer
… and neural mechanisms that give rise to object perception? In this review, I present a cognitive
neuroscience overview of the literature on object representation. Marr's (1982) framework …

[PDF][PDF] Object bank: A high-level image representation for scene classification & semantic feature sparsification

LJ Li, H Su, L Fei-Fei, E Xing - Advances in neural …, 2010 - proceedings.neurips.cc
… To verify the hypothesis, we examine the importance of objects across scales by summing up
the … one representative object in a scene and visualize the feature patterns within the object