Search Results - "Ramamohanarao, K"

Structure-function coupling in the human connectome: A machine learning approach by Sarwar, T., Tian, Y., Yeo, B.T.T., Ramamohanarao, K., Zalesky, A.

“…While the function of most biological systems is tightly constrained by their structure, current evidence suggests that coupling between the structure and…”
Get full text

Automatically Determining the Number of Clusters in Unlabeled Data Sets by Liang Wang, Leckie, C., Ramamohanarao, K., Bezdek, J.

“…Clustering is a popular tool for exploratory data analysis. One of the major problems in cluster analysis is the determination of the number of clusters in…”
Get full text

Exploiting sparsity and low-rank structure for the recovery of multi-slice breast MRIs with reduced sampling error by Yin, X. X., Ng, B. W.-H., Ramamohanarao, K., Baghai-Wadji, A., Abbott, D.

“…It has been shown that, magnetic resonance images (MRIs) with sparsity representation in a transformed domain, e.g. spatial finite-differences (FD), or…”
Get full text

Protecting SIP server from CPU-based DoS attacks using history-based IP filtering by Zhou, C.V., Leckie, C., Ramamohanarao, K.

“…Voice over IP (VoIP) telephony is vulnerable to a range of attacks, since its operation relies on the underlying IP network. The centralized design of the…”
Get full text

Anatomical landmark localization in breast dynamic contrast-enhanced MR imaging by Yin, X. X., Ng, B. W.-H., Yang, Q., Pitman, A., Ramamohanarao, K., Abbott, D.

“…In this article, we present a novel approach to localize anatomical features—breast costal cartilage—in dynamic contrast-enhanced MRI using level sets. Current…”
Get full text

A call quality performance measure for handoff algorithms by Halgamuge, M. N., Vu, H. L., Ramamohanarao, K., Zukerman, M.

“…This paper proposes a new approach for performance evaluation and comparison between existing handoff algorithms taking into consideration signal levels, call…”
Get full text

Tensor based sparse decomposition of 3D shape for visual detection of mirror symmetry by Yin, X.-X, Ng, B.W.-H, Ramamohanarao, K, Abbott, D

“…Abstract This study explores an approach for analysing the mirror (reflective) symmetry of 3D shapes with tensor based sparse decomposition. The approach…”
Get full text

Fourier domain scoring: a novel document ranking method by Park, L.A.F., Ramamohanarao, K., Palaniswami, M.

“…Current document retrieval methods use a vector space similarity measure to give scores of relevance to documents when related to a specific query. The central…”
Get full text

Signal-based evaluation of handoff algorithms by Halgamuge, M.N., Hai Le Vu, Rarnamohanarao, K., Zukerman, M.

“…We propose a new framework, based on signal quality, for performance evaluation and comparison between existing handoff algorithms. It includes new call…”
Get full text

Automatic detection of retinal vascular landmark features for colour fundus image matching and patient longitudinal study by Nguyen, U. T. V., Bhuiyan, A., Park, L. A. F., Kawasaki, R., Wong, T. Y., Ramamohanarao, K.

“…Retinal vascular landmark points such as branching points and crossovers are important features for automatic retinal image matching and vascular abnormality…”
Get full text

A novel document ranking method using the discrete cosine transform by Park, L.A.F., Palaniswami, M., Ramamohanarao, K.

“…We propose a new spectral text retrieval method using the discrete cosine transform (DCT). By taking advantage of the properties of the DCT and by employing…”
Get full text

Automatic extraction of semantic concepts in medical images by Park, M., Ramamohanarao, K.

“…A novel automatic system for extracting the semantic descriptions of medical image content and concept in text form is presented. We first extract and analyze…”
Get full text

Efficient recursive aggregation and negation in deductive databases by Kemp, D.B., Ramamohanarao, K.

“…We present an efficient evaluation technique for modularly stratified deductive database programs for which the local strata level mappings are known at…”
Get full text

Fast discovery and the generalization of strong jumping emerging patterns for building compact and accurate classifiers by Fan, H., Kotagiri Ramamohanarao

“…Classification of large data sets is an important data mining problem that has wide applications. Jumping emerging patterns (JEPs) are those itemsets whose…”
Get full text

Atlas: a nested relational database system for text applications by Sacks-Davis, R., Kent, A., Ramamohanarao, K., Thom, J., Zobel, J.

“…Advanced database applications require facilities such as text indexing, image storage, and the ability to store data with a complex structure. However, these…”
Get full text

Using emerging patterns and decision trees in rare-class classification by Alhammady, H., Ramamohanarao, K.

“…The problem of classifying rarely occurring cases is faced in many real life applications. The scarcity of the rare cases makes it difficult to classify them…”
Get full text

A weighting scheme based on emerging patterns for weighted support vector machines by Hongjian Fan, Ramamohanarao, K.

“…Support vector machines (SVMs) are powerful tools for solving classification problems and have been applied to many application fields, such as pattern…”
Get full text

Mining Emerging Patterns and Classification in Data Streams by Alhammady, Hamad, Ramamohanarao, Kotagiri

“…A data stream model has been proposed recently for those data-intensive applications such as financial applications, manufacturing, and others [6]. In this…”
Get full text

Fuzzy inference systems in MR image processing-a review by Yin, X X, Ng, B W.-H, Abbott, D, Jia, W, Ramamohanarao, K

“…Fuzzy inference systems are of great interest to provide a consistent mathematical framework for the representation of imprecision in relation to objects,…”
Get full text

DeEPs: A New Instance-Based Lazy Discovery and Classification System by Li, Jinyan, Dong, Guozhu, Ramamohanarao, Kotagiri, Wong, Limsoon

“…Distance is widely used in most lazy classification systems. Rather than using distance, we make use of the frequency of an instance's subsets of features and…”
Get full text