Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 20821 for “"Features"”.
-
Non-standard features
… instances. "Secondary Qualities and Centering Features" offers a characterization of the elusive distinction between primary and secondary qualities. "Appearance Properties" argues that Sydney Shoemaker's proposal for reconciling intentionalism with the possibility of spectrum inversion without …
-
Mining Rare Features in Fingerprints using Core points and Triplet-based Features
… and statistical approach to discover rare features in fingerprints which provides scientific validation for both ten-print and latent fingerprint evidence. A feature is considered rare if it is statistically uncommon; that is, the rare feature should be unique among N (N>100) randomly …
-
Histopathologic Features in Vitiligo
… other hypopigmented disorders only by clinical features. However, only a few reports are available on histopathological changes in vitiligo. PURPOSE: The purpose of the study was to delineate the microscopic alterations that are important in the diagnosis or differential diagnosis of vitiligo. …
-
Computing Interesting Topological Features
Finally, we examine a more fundamental homotopy problem in a different setting. A Rips complex is a simplicial complex defined by a set of points from some metric space where every pair of points within distance 1 is connected by an edge, and every (k + 1)-clique in that graph forms a k-simplex. We …
-
Visualizing object detection features
We introduce algorithms to visualize feature spaces used by object detectors. The tools in this paper allow a human to put on 'HOG goggles' and perceive the visual world as a HOG based object detector sees it. We found that these visualizations allow us to analyze object detection systems in new …
-
University of Toledo Students' Reaction to African American Vernacular Features: Do Phonological Features Matter?
… with varying degrees of AAVE phonological features. Six females were selected who exhibit varying degrees of AAVE (two “strong” AAVE speakers, two “moderate” AAVE speakers, and two SAE speakers). All speakers recorded a brief definition of achievement motivation. Subsequently, one-hundred …
-
Blind steganalysis using fractal features
… images with blind steganalysis using fractalfeatures has been proposed in this thesis. Two overarching methods were used to constructthe feature vector; first, using a variation of the Differential Box Counting algorithm forlacunarity estimation to extract the fractal features; and then, …
-
Relevance learning for redundant features
… the presence of redundant but also relevant features. Most existing selection algorithms are specifically removing redundancies and not suitable for the task of all-relevant feature selection, or they require careful parametrization and are hard to interpret, which makes them difficult to …
-
Semantic Features of the Object /
The present paper analyzes the features of the object in traditional and semantic syntax. A special attention is payed to the processes and the ways of expressing the object in each of them, namely, in material, mental, verbal, relational, existential and happening processes. The examples were …
-
Vertical Structure of Propagating Features
… time-space scales including propagating features. Here we present simultaneous assimilation of surface and sub-surface observations that shows fresh insights into the contribution of the propagating features in the vertical structure of the temporal-spatial evolution in the western …
-
Mutual features for pattern classification
… extract moreinvolved representations, or “mutual features”, accounting for samples in the class. MIA aims to extract a common or mutual signature that is invariant to changes in the inputs. For example, a mutual feature is a speaker signature under varying channel conditions or a face signature …
-
Compact features for sentiment analysis
This work examines a novel method of developing features to use for machine learning of sentiment analysis and related tasks. This task is frequently approached using a Bag of Words representation -- one feature for each word encountered in the training data -- which can easily number in the …
-
Imaging and mitigating karst features
… waters, ultimately resulting in distinct karst features. Anthropogenic activities were observed as a major contributor to the karst processes. Minimizing the amounts and rate of percolating acidic waters can significantly reduce karst processes and mitigate related features"--Abstract, page …
-
Motivational features of science shows
… This research identified potential motivational features, and then tested whether they were associated with short-term motivation from a science show. Quantitative data were collected from eight different shows which had varying motivational aims: broadly improving attitudes to science, inspiring …
-
Supererogation : definitions, features and characteristics
… this thesis will study the definitions, features and characteristics of supererogation. In the president's address to the 1984 meeting of the Canadian Philosophical Association, Kai Nielsen reviewed the main trends of post-war philosophical inquiry from Wittgenstein onwards and concluded …
-
Motivational features of science shows
… This research identified potential motivational features, and then tested whether they were associated with short-term motivation from a science show. Quantitative data were collected from eight different shows which had varying motivational aims: broadly improving attitudes to science, inspiring …
-
Supererogation : definitions, features and characteristics
… this thesis will study the definitions, features and characteristics of supererogation. In the president's address to the 1984 meeting of the Canadian Philosophical Association, Kai Nielsen reviewed the main trends of post-war philosophical inquiry from Wittgenstein onwards and concluded …
Page 1 of 1042