[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Data Mining - Concepts and Techniques.

We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

Random graphs

International Journal of Computer and Applications

International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.2, No.2, April 2012

Grey level co-occurrence matrices : generalisation and some new features

Chatbot is a piece of software that responds to natural language input and attempts to hold a conversation in a way that imitates a real person. Some chatbots are used for entertainment purposes, while others for business and commercial purposes. Chatbots are getting a lot of attention from business community right now as they can save costs in customer service centers and can handle multiple clients at a time. Successful implementation of a chatbot calls for correct analysis of user’s query by the bot and the formation of the correct response that should be given to the user. In many scenarios the information available from the user’s query is inadequate to provide the answer. In such contexts, the chatbot needs to be inquisitive so that it will be more interactive and can mimic a more natural human interaction. This paper reports the implementation of an inquisitive chatbot, which finds the missing data in query and probes the questions to users to collect data that are required to answer the query. Through this implementation, the level of interactivity between the user and the chatbot is improved.

/pdf/implementation-of-an-inquisitive-chatbot-for-database-kek5p6cf18.pdf

Implementation of an inquisitive chatbot for database supported knowledge bases

Unconstrained Handwritten Malayalam Character Recognition using Wavelet Transform and Support vector Machine Classifier

Digit speech recognition is important in many applications such as automatic data entry, PIN entry, voice dialing telephone, automated banking system, etc. This paper presents speaker independent speech recognition system for Malayalam digits. The system employs Mel frequency cepstrum coefficient (MFCC) as feature for signal processing and Hidden Markov model (HMM) for recognition. The system is trained with 21 male and female voices in the age group of 20 to 40 years and there was 98.5% word recognition accuracy (94.8% sentence recognition accuracy) on a test set of continuous digit recognition task.

/pdf/speech-recognition-of-malayalam-numbers-3b37myzy9j.pdf

Speech recognition of Malayalam numbers

A graph G is strongly distance-balanced if for every edge uv of G and every i>=0 the number of vertices x with d(x,u)=d(x,v)-1=i equals the number of vertices y with d(y,v)=d(y,u)-1=i. It is proved that the strong product of graphs is strongly distance-balanced if and only if both factors are strongly distance-balanced. It is also proved that connected components of the direct product of two bipartite graphs are strongly distance-balanced if and only if both factors are strongly distance-balanced. Additionally, a new characterization of distance-balanced graphs and an algorithm of time complexity O(mn) for their recognition, where m is the number of edges and n the number of vertices of the graph in question, are given.

https://dyuthi.cusat.ac.in/xmlui/bitstream/handle/purl/4198/Strongly%20distance-balanced%20graphs%20and%20graph%20products.pdf;sequence=1

Kannan Balakrishnan

Papers

Grey level co-occurrence matrices : generalisation and some new features

Implementation of an inquisitive chatbot for database supported knowledge bases

Unconstrained Handwritten Malayalam Character Recognition using Wavelet Transform and Support vector Machine Classifier

Speech recognition of Malayalam numbers

Strongly distance-balanced graphs and graph products