A Year Like No Other

Animated short film that I scored from a Director in LA.https://remix.berklee.edu/graduate-studies-scoring/1164/thumbnail.jp

Garba No Udbhava: The Ethnomuiscology of Raas-Garba

Raas-Garba, a vibrant and dynamic folk dance form originating from Gujarat, India, embodies a rich tapestry of cultural heritage and social identity. This research paper delves into the ethnomusicological dimensions of Raas-Garba, examining its evolution through four distinct time periods marked by significant cultural and political movements. Drawing from a combination of archival research, ethnographic fieldwork, and musical analysis, this study aims to elucidate the intricate interplay between cultural expressions and socio-political dynamics in shaping the essence of Raas-Garba. We begin this research paper by defining the origins of the dance form. The debate about the traditional origins of these dance forms comes within the context of two explanations, the religious and the secular. The first epoch under scrutiny is the pre-colonial era, where Raas-Garba emerges as an integral part of religious and seasonal festivities, deeply rooted in agrarian traditions and community cohesion. Subsequently, the colonial period brings forth a complex narrative of resistance and adaptation, as Raas-Garba undergoes transformations amidst British colonial rule, negotiating between preservation and assimilation. The post-colonial epoch witnesses Raas-Garba becoming a symbol of cultural revival and assertion, intertwined with the fervor of Indian independence and the rise of regional identity movements. This era reflects a reclamation of tradition in the face of modernization, as Raas-Garba evolves as a potent expression of cultural pride and solidarity. Finally, the contemporary period unfolds against the backdrop of globalization and diaspora, where Raas-Garba transcends geographical boundaries to become a global phenomenon. This phase underscores the dialectics between tradition and innovation, as Raas-Garba adapts to diverse socio-cultural contexts while retaining its core essence.Asian Studie

An Image Model based on Occluding Object Images and Maximum Entropy

This Paper Introduces a Statistical Image Model based on Occlusion and Maximum Entropy. the Statistical Model Combines a Fundamental Property of Image Formation, Occlusion, with Both Object-Image Shape and Nonuniform Object-Image Intensity. the Model is a Composition of Individual Object-Images that Have Random Positions, Shapes, and Intensities, and that Occlude Both Background and One Another. We Derive the Autocorrelation and Second-Order Probability Density Functions of This Model and Give Several Examples. © 1998 IEEE

Structural Pattern Matching - Succinctly

Let T be a text of length n containing characters from an alphabet Sigma, which is the union of two disjoint sets: Sigma_s containing static characters (s-characters) and Sigma_p containing parameterized characters (p-characters). Each character in Sigma_p has an associated complementary character from Sigma_p. A pattern P (also over Sigma) matches an equal-length substring $S$ of T iff the s-characters match exactly, there exists a one-to-one function that renames the p-characters in S to the p-characters in P, and if a p-character x is renamed to another p-character y then the complement of x is renamed to the complement of y. The task is to find the starting positions (occurrences) of all such substrings S. Previous indexing solution [Shibuya, SWAT 2000], known as Structural Suffix Tree, requires Theta(nlog n) bits of space, and can find all occ occurrences in time O(|P|log sigma+ occ), where sigma = |Sigma|. In this paper, we present the first succinct index for this problem, which occupies n log sigma + O(n) bits and offers O(|P|logsigma+ occcdot log n logsigma) query time