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Human action recognition in video
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
Action recognition is a central problem in computer vision which is also known as action recognition or object detection. Action is any meaningful movement of the human and it is used to convey information or to interact ...
Image ranking based on clustering
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted
by feature similarities with respect to the query. However, images with high feature similarities to the query may be very ...
Low noise amplifier design at 2 GHz
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
Low Noise Amplifier (LNA) is one of the most important building blocks of any wireless
receiver. In this an attempt has been made to study two types of LNA designs. The first
design is the conventional which consists of ...
Shallow parsing of Gujarati text
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
Shallow parsing is the process of assigning tag to minimal, non recursive phrase
of the sentence. It is useful for many applications like question answering system,
information retrieval where there is no need of full ...
Wireless LAN 802.11 security using elliptic curve cryptography
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
IEEE 802.11 is a standard defines the specification of Wireless Local Area Network (WLAN), came into existence in 1997. As communication medium is wireless, security is a major concern to protect the data from adversary. ...
Learning to rank: using Bayesian networks
(Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
Ranking is one of the key components of an Information Retrieval system. Recently
supervised learning is involved for learning the ranking function and is called 'Learning to Rank' collectively. In this study we present ...