Image Processing and Pattern Recognition Mid - I, September - 2014

1.Example of spatial pattern is
  • ECG
  • Music
  • Fingerprint
  • Idea
Answer: C
2.What is the input for “medical diagnosis” pattern recognition system?
  • Voice
  • Symptoms
  • Optical signals
  • Financial news
Answer: B
3.Which of these is not a fundamental problem in pattern recognition system design?
  • Sensing problem
  • Preprocessing and feature extraction problem
  • Identification and classification
  • Pattern recognition capability of human beings
Answer: D
4.Which among the following is the design methodology for automatic pattern recognition system?
  • Membership roster
  • Heuristic
  • Common property
  • Clustering
Answer: B
5.In pattern classification by distance functions “Pockets” refer to ___________.
  • Pattern
  • Pattern class
  • Number of patterns
  • Pattern class size
Answer: B
6.The likelihood ratio of a Bayes Classifier is given by
Answer: A
7.The basic perceptron model is seen to be nothing more than an implementation of
  • A non-linear decision function
  • Performance index minimization
  • A linear decision function
  • Performance index maximization
Answer: C
8.The sensory units of a perceptron can be viewed as
  • Input to the machine
  • Stimuli from its external environment
  • Output of the machine
  • Stimuli to its external environment
Answer: B
9.The result of a Least Mean Square Error algorithm is
  • Algorithm converges for separable classes
  • Classes under consideration are not separable
  • Both a and b
  • Algorithm simply oscillates
Answer: C
10.LMSE algorithm converges at a faster rate due to
  • Modifications can be made wrt to w vector
  • Modifications can be made wrt to b vector
  • It is many-pattern-adaptation scheme
  • All the above
Answer: D
11.Each class can be separable from each other class by _______________ decision functions.
Answer:
12._______________ features of a pattern class are the characterizing attributes common to all patterns belonging to that class.
Answer: Intraset features
13.inutiae – the ridge endings and bifurcation used by the FINDER system for ____________ identification.
Answer: Fingerprint
14.Categorizer is a device which assigns each of its admissible inputs to one of a finite number of _________________ by computing a set of decision functions.
Answer: classes or categories
15.“Each pattern class is separable from the other classes by a single decision surface”. This is the statement of ______________ of linear decision function.
Answer: Case I
16.The algorithm which is based on the minimization of performance index is ____________.
Answer: K-means
17.Minimum distance classifier categorizes a pattern on the basis of the closest match between the pattern and the respective class prototypes, this approach is also known as ______________
Answer: Correlation or cluster matching.
18.Mahalanobis distance from ‘X’ to ‘m’ is given by ____________.
Answer:
19.Equation for Bayes classifier is ___________________.
Answer:
20.LMSE algorithm is also referred to as ____________ algorithm.
Answer: Ho-Kashyap