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IDENTITIES BETWEEN HECKE EIGENFORMS

https://cst.temple.edu/sites/cst/files/theses1/bao.pdf

tween Hecke eigenforms, we give another proof that the j-function is algebraic

GIFT: Towards Scalable 3D Shape Retrieval - Temple University

https://cis.temple.edu/~latecki/Papers/GIFT-IEEEMM2017.pdf

Abstract—Projective analysis is an important solution in three-dimensional (3D) shape retrieval, since human visual perceptions of 3D shapes rely on various 2D observations from different viewpoints. Although multiple informative and discriminative views are utilized, most projection-based retrieval systems suffer from heavy computational cost, and thus cannot satisfy the basic requirement ...

Combinatorial Probability - Temple University

https://cis.temple.edu/~latecki/Courses/CIS2033-Spring12/ElementaryProbabilityforApplications/ch2.pdf

31 To answer this question, we think about building the line up one person at a time starting from the front. There are 5 people we can choose to put at the front of the line. Having made the first choice, we have 4 possible choices for the second position. (The set of people we have to choose from depends upon who was chosen first, but there are always 4 people to choose from.) Continuing ...

Graph Theory - Temple University

https://cis.temple.edu/~latecki/Courses/CIS166-05/Lectures/graph.ppt

Topics in enumeration; principle of inclusion and exclusion, Partial orders and lattices. Algorithmic complexity; recurrence relations, Graph theory.

Shape Retrieval Using Fourier Descriptors - Temple University

https://cis.temple.edu/~lakaemper/courses/cis595_2004/papers/fourierShape.pdf

Shape retrieval involves three primary issues: shape representation, shape similarity measure and shape indexing. Among them, shape representation is the most important issue in shape retrieval. Various shape representation methods, or shape descriptors, exist in the literature, these methods can be classified into two categories: region based versus contour based. In region based techniques ...

M2381 - BENSON PRINT.indd - College of Liberal Arts

https://liberalarts.temple.edu/sites/liberalarts/files/Handbook_on_the_Economics.pdf

Allied- Barton provides security services at 90 US colleges and universities (Colavecchio- Van Sickler, 2007). This is part of the general trend that started in the 1990s, where profi t and non- for- profi t organizations contract out non- core activities in order to save on resources, eliminate labor disputes, and enjoy on occasion greater use ...

Pei Wang Publications - Temple University

https://cis.temple.edu/~wangp/papers.html

Selected Papers of Pei Wang All the following publications are authored by Pei Wang unless specified otherwise.

Microsoft Word - TFederici - CV univ eng.doc

https://rome.temple.edu/sites/rome/files/TFederici%20CV%20univ%20eng.pdf

Course offered by the Department of Economics and Management, University of Tuscia at the last year of undergraduate programme in Business Management. It is a 48-hour course, whose aim is that of making students acquainted of the fundamentals of organization theory: design of structures, control mechanisms and culture, change management, decision theory. By making use of readings, case studies ...

Microsoft Word - CampbellSoupStrategyDraft.docx

https://community.mis.temple.edu/jonathanfertal/files/2014/03/CampbellSoupStrategy.pdf

Morrison has outlined three strategic plans to inject growth into Campbell: stabilize and increase profitability in North American soup and simple meals, expand international presence, and continue to drive growth in healthy beverages and baked snacks (Goudreau, 2013). This strategy seeks to address key strategic decisions of the past, missed opportunities, and unmet expansion.

Outlier Detection with Kernel Density Functions

https://cis.temple.edu/~latecki/Papers/mldm07.pdf

Abstract. Outlier detection has recently become an important prob-lem in many industrial and ̄nancial applications. In this paper, a novel unsupervised algorithm for outlier detection with a solid statistical foun-dation is proposed. First we modify a nonparametric density estimate with a variable kernel to yield a robust local density estimation. Out-liers are then detected by comparing the ...