… In this paper we present a new mathematical construction, local feature analysis (LFA), for …
local features and their positions. We illustrate the theory by using it to extract local features for …

… new mathematical construction--Local Feature Analysis (LFA)--… terms of statistically derived
local features and their locations. … theory by using it to extract local features for human faces. …

… Here, we describe for the first time the application of local feature analysis (LFA) to construct
a topographic representation of functional dynamics in terms of local features. The LFA …

… Hence, in this paper, we propose a new texture feature-extraction technique using statistical
feature matrices (SFM) which directly evaluate the three statistical features for several …

… to infer which features are … feature of line arrangements that allowed automatic, preattentive
detection; nor did connectedness or containment—the two examples of topological features …

… methods available for proteomics data analysis, with a focus … statistical procedures are
presented to perform data reduction by feature selection, cross-validation and functional analysis …

… A comparative study of testing region homogeneity using features analysis and statistical
inference is reviewed in Section 3. In Section 4, the proposed algorithm is described. Finally, …

… This section describes probabilistic models of image features, another component of the
statistical theories of object recognition that are described in Sections 6 and 7. …

… and statistical theory of factor analysis and its … factor analysis as a bona fide statistical model
have stemmed from two sources-historical and methodological. Historically, factor analysis …

… There can be much more features in the papers and patents information, but we define
16 key features as a final feature sets in TLCD model. Definition 1 represents key features, …