\7 Printed Pages: 3

ECS-074

{Following Paper ID and Roll }tlo. to he filtred in your Amswer Booli) Roll No.

B.Tech.

(sEM. VItr) THEORY' EXAMThTATION, 2t}15-1 6 PATTERITRECOGiTTfiON

[Time:3 hoursJ

[MaximumMarks:100 Section*A

Q.

I

Attexnpt all parts. AII parts €arry equal marks. Write anslYer of each part in short. {2" 1 0:20)

(a)

Srrite the differ:snce between classification and

clustering.

(b)

It-A, B, C are three mutual exclusive and exhaustive events and P{B)_-Il3 P{A), P(tl)-112 P{A), find

P(A), P(B) andP(C).

(1)

ECS-074

TiHfxn*i

M I

(c)

liryo cards are clrar,vn ficrn a full packet of 52 cards, the first card being returned to the packet befare the seconcl is drawn. trrind the probability that these' trvo cards are of the safile suit.

(d)

What is the difference hetrryeen pararnetic and rlon parffn etric pattreffi recogintion m ethods?

(e)

\fuhat is the prohability of obtaining 9, 10, end points r,vith 3 dice?

11

(0 l{ow do we evaluate the performance o{ a classifier? ,

(S)

What do you mean hy'fuzry decision making?Also rJiscuss the fuzzy classificaton using suitable exirmplc"

(h)

V/rite difference between lear:ning and aclaption?

(i)

I)iscuss mean and covariance with an exalnple.

fi

)

Name the ditTernt methods of non*parameter. estimation strategies. What are the main differenc es between thern ?

Section-B Note: Attempt

amJ[ fis-e

questions frorn this section"

,W

Itlx5:50

Q2.

What is a discriminarnt function? discuss it in detdil. In a

problern, the likelihood rtic is given as fo llor,rrs p(#C 1 )p(v C?). \lrrite the di s crim inant function in terms of'the likelihood tatio.

two

ctrass :

Q3. What do ]*ou mean by fuzzy decision

making? Also

discuss the firzry classification using suitable exarnple

Q4. Prove that the mean

.

and the standard cleviation ot the

binorniai distribution arenp enct ![ npq re$peotively. of goats from a disease, the {ollowirrg results were ohtained:

Q5. In an experiment on the immunization Died or

Ca lcu

lated

disease

Survived

10

2

Tota

I

12

with vaccine 12

Not inocu lated Total

I

15

(3)

24

P.T.O.

W

Q6. What is dimension reduction? Discuss Principal Component Anal,vsis (PCA) algi:rithm for climension reducticln.

Q7.

Estirnate a density function using a symmetric triangular

kernel with a base width of 2. gir,'en that your samples are at2,3,3, ffid 4. Explain w'ith diagram.

Q8,

Wor,v the k-nearest neighbor rnethod works? Explain

with

KNN estimation and KNI{ rule.

Q9.

Explain the concept of expectation maxim ization n,ith the help of an algorithm.

Section-C

f{ote: Attenilpt any fruo questions from this section.

(15x2:30) Q10.(a) What is Hidden h'Iarkov Model (HMM)? Explain

followinginHMM

(i)

Forward algorithm

(4)

ECS-074

r,g+irrr+e{!

tW

(

ii)

Bitckrvarcl algoritirn

(b) \Vhat is norrnal distribution'i Explain.

e

11

.Explain sLull 01' squareri error criterion and related nrinilrum valiance criteria tol cluster:ing? Discuss rvhat 1
of oltrstering problorns are stritect to sttm-ofisquared

ct"iterittn. Q 1?. \\rri1e slrort nofes on:

Ltt)

tlhi-sqr-rare test

b)

I{-rleatts partitior-r algot'ithnr

c)

Cltrstering

('5

)

UPTU B.Tech Pattern Recognition ECS-074 Sem 7_2015-16.pdf ...

There was a problem loading more pages. Retrying... Whoops! There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item. UPTU B.Tech Pattern Recognition ECS-074 Sem 7_2015-16.pdf. UPTU B.Tech Pattern Recognition ECS-074 Sem ...

242KB Sizes 7 Downloads 294 Views

Recommend Documents

UPTU B.Tech Pattern Recognition ECS-074 Sem 7_2013-14.pdf ...
UPTU B.Tech Pattern Recognition ECS-074 Sem 7_2013-14.pdf. UPTU B.Tech Pattern Recognition ECS-074 Sem 7_2013-14.pdf. Open. Extract. Open with.

UPTU B.Tech Pattern Recognition ECS 074 Sem 7_2011-12.pdf ...
There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item. UPTU B.Tech ...

Pattern Recognition
Balau 1010. Balau 1011 ..... sion, and therefore the computation takes very long. However tests on the .... Distance (d) is fixed to 1 and the information extracted.

BTECH(PS)4TH SEM(P)......PDF
Himanshu Kumar. Aditi Bhardwaj. Aayushi Joshi. Swati Badhan. Roohi Mittal. Aarushi Mathur. Diksha Gautam. Martin Vanlalsawma Thiek. Arvind Kumar Mahto.

Structural pattern recognition
Processing of such huge image databases and retrieving the hidden patterns (or features) ... New data retrieval methods based on structural pattern recognition ...

UPTU B.Tech Hydraulics & Hydraulic Machines NCE403 Sem ...
(e) On what factors does the Manning's rugosity'corefficient ... Displaying UPTU B.Tech Hydraulics & Hydraulic Machines NCE403 Sem 4_2014-15.pdf. Page 1 ...

UPTU B.Tech Wireless & Mobile Communication EEC801 Sem ...
UPTU B.Tech Wireless & Mobile Communication EEC801 Sem 8_2014-15.pdf. UPTU B.Tech Wireless & Mobile Communication EEC801 Sem 8_2014-15.pdf.

UPTU B.Tech Advanced Materials Technology EME063 Sem ...
Loading… Page 1. Whoops! There was a problem loading more pages. Retrying... Main menu. Displaying UPTU B.Tech Advanced Materials Technology EME063 Sem 8_2011-12.pdf.

UPTU B.Tech NonConventional Energy Resources EOE081 Sem ...
UPTU B.Tech NonConventional Energy Resources EOE081 Sem 8_2014-15.pdf. UPTU B.Tech NonConventional Energy Resources EOE081 Sem 8_2014-15.

Svensen, Bishop, Pattern Recognition and Machine Learning ...
Svensen, Bishop, Pattern Recognition and Machine Learning (Solution Manual).pdf. Svensen, Bishop, Pattern Recognition and Machine Learning (Solution ...

Pattern recognition Notes 1.pdf
J. Corso (SUNY at Buffalo) Introduction to Pattern Recognition 15 January 2013 4 / 41. Page 4 of 58. Pattern recognition Notes 1.pdf. Pattern recognition Notes ...

Machine Learning & Pattern Recognition
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, ... Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython.

Ebook Pattern Recognition Full Online
the text including non-linear dimensionality reduction techniques, relevance feedback, semi- ... including real-life data sets in imaging, and audio recognition.

Pattern Recognition Supervised dimensionality ... - Semantic Scholar
bAustralian National University, Canberra, ACT 0200, Australia ...... About the Author—HONGDONG LI obtained his Ph.D. degree from Zhejiang University, ...

Pattern Recognition and Image Processing.pdf
use for histogram equalization ? 2. (a) Briefly explain the following : (i) Unsharp marking. (ii) High boost filtering. 6. 4. MMTE-003 1 P.T.O.. Page 1 of 3 ...

Pattern Recognition and Image Processing.PDF
why the filtering scheme is effective for the. applications it is used. 3. (a) Explain in detail the adaptive mean and 4. median filters. (b) Obtain mean and variance ...

UPTU B.Tech EME 011Fluid Machinery Sem 6_2010-11.pdf
UPTU B.Tech EME 011Fluid Machinery Sem 6_2010-11.pdf. UPTU B.Tech EME 011Fluid Machinery Sem 6_2010-11.pdf. Open. Extract. Open with. Sign In.

UPTU B.Tech EOE-041 Introduction to Soft Computing Sem 4_2010 ...
UPTU B.Tech EOE-041 Introduction to Soft Computing Sem 4_2010-11.pdf. UPTU B.Tech EOE-041 Introduction to Soft Computing Sem 4_2010-11.pdf. Open.

UPTU B.Tech Principles of Communication NEC-502 Sem 5_2015 ...
UPTU B.Tech Principles of Communication NEC-502 Sem 5_2015-16.pdf. UPTU B.Tech Principles of Communication NEC-502 Sem 5_2015-16.pdf. Open.