ZHAOZHIHAO · March 21, 2022 23:47
diff --git a/One sentence describes a technique b/One sentence describes a technique
 1. Adaboost: 
 i) An adaboost classifier is a powerful ensemble of classifiers which is formed by successively refitting a weak classifier to different 
 weighted realizations of a data set.
 <i> In the “boosting” approach to machine learning, a powerful ensemble of classifiers is formedby 
 successively refitting a weak classifier to different weighted realizations of a data set. </i>
 Source: Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers
 ii) A good explantion for adaboost at page 338-339, The Elements of Statistical Learning, volume 2. Springer

 2. Jensen's inequality
 In its simplest form the inequality states that the convex transformation of a mean is less than or equal to the mean applied after
 convex transformation; it is a simple corollary that the opposite is true of concave transformations. 

 3. Group (beginner level)
 A group is a set combined with an operation, and satisfies the following 4 properties:
    i. The group contains an identity
    ii. The group contains inverses
    iii. The operation is associative
    iv. The group is closed under the operation.
 https://www.mathsisfun.com/sets/groups-introduction.html

 4. Cross product
 The cross product a × b is defined as a vector c that is perpendicular (orthogonal) to both a and b, with a direction given
 by the right-hand rule and a magnitude equal to the area of the parallelogram that the vectors span.

 5. Q-learning, from thesis "learning from delayed rewards"
 What is the purpose of Q-learning:
    The purpose is to find some methods for deciding what action to perform in each state: the agent has mastered the skill if it
    can decide what to do in any situation it may face.
 terms:
 What is a policy?
    A policy is a mapping from states to actions -- in other words, a policy is a rule for deciding what to do given knowledge of
    the current state.
    
 6. Definition of adversarial examples by Ian Goodfellow
 https://twitter.com/goodfellow_ian/status/984518755546906624?lang=en

 7. Meaning of function mapping notation
 https://math.stackexchange.com/questions/1092266/meaning-of-function-mapping-notation-d-x-times-x-to-mathscrr

 8. What is a space (mathematical concepts)?
 https://math.stackexchange.com/questions/135994/what-does-a-space-mean

 9. What is time-invariant system?
 https://zhuanlan.zhihu.com/p/34280613
    
 10. Intrinsic, extrinsic, and camera matrix
 # http://ksimek.github.io/2012/08/14/decompose/
 # P = [M|-MC] = K[R|t=−RC]
 # P: camera matrix
 # M: = KR
 # K: intrinsic matrix
 # [R|-RC]: extrinsic matrix
 # R: rotation matrix
 # t: the position of the world origin in camera coordinates
 # C: the camera center in world coordinates
	1. Adaboost:
	i) An adaboost classifier is a powerful ensemble of classifiers which is formed by successively refitting a weak classifier to different
	weighted realizations of a data set.
	<i> In the “boosting” approach to machine learning, a powerful ensemble of classifiers is formedby
	successively refitting a weak classifier to different weighted realizations of a data set. </i>
	Source: Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers
	ii) A good explantion for adaboost at page 338-339, The Elements of Statistical Learning, volume 2. Springer

	2. Jensen's inequality
	In its simplest form the inequality states that the convex transformation of a mean is less than or equal to the mean applied after
	convex transformation; it is a simple corollary that the opposite is true of concave transformations.

	3. Group (beginner level)
	A group is a set combined with an operation, and satisfies the following 4 properties:
	i. The group contains an identity
	ii. The group contains inverses
	iii. The operation is associative
	iv. The group is closed under the operation.
	https://www.mathsisfun.com/sets/groups-introduction.html

	4. Cross product
	The cross product a × b is defined as a vector c that is perpendicular (orthogonal) to both a and b, with a direction given
	by the right-hand rule and a magnitude equal to the area of the parallelogram that the vectors span.

	5. Q-learning, from thesis "learning from delayed rewards"
	What is the purpose of Q-learning:
	The purpose is to find some methods for deciding what action to perform in each state: the agent has mastered the skill if it
	can decide what to do in any situation it may face.
	terms:
	What is a policy?
	A policy is a mapping from states to actions -- in other words, a policy is a rule for deciding what to do given knowledge of
	the current state.

	6. Definition of adversarial examples by Ian Goodfellow
	https://twitter.com/goodfellow_ian/status/984518755546906624?lang=en

	7. Meaning of function mapping notation
	https://math.stackexchange.com/questions/1092266/meaning-of-function-mapping-notation-d-x-times-x-to-mathscrr

	8. What is a space (mathematical concepts)?
	https://math.stackexchange.com/questions/135994/what-does-a-space-mean

	9. What is time-invariant system?
	https://zhuanlan.zhihu.com/p/34280613

	10. Intrinsic, extrinsic, and camera matrix
	# http://ksimek.github.io/2012/08/14/decompose/
	# P = [M\|-MC] = K[R\|t=−RC]
	# P: camera matrix
	# M: = KR
	# K: intrinsic matrix
	# [R\|-RC]: extrinsic matrix
	# R: rotation matrix
	# t: the position of the world origin in camera coordinates
	# C: the camera center in world coordinates